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R: Create a random transition matrix for an Mk model.
...transition matrix for an Mk model. Description Create a random transition matrix for a fixed-rates continuous-time Markov model of discrete trait evolution ("Mk model"). This may be useful for testing...
/CRAN/refmans/castor/html/get_random_mk_transition_matrix.html
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:transition, :transition, transition, :matrix, :matrix, matrix and markov |
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R: Transition matrix.
...Transition matrix. Description Estimate a k-order transition matrix from customer journey data. Usage transition_matrix(Data, var_path, var_conv, var_null, order=1, sep=">", flg_equal=TRUE, flg_adv...
/CRAN/refmans/ChannelAttribution/html/transition_matrix.html
all matching:
:transition, :transition, transition, :matrix, :matrix, matrix and markov |
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R: Transition matrix of the drifting Markov Model
getTransitionMatrix {drimmR} R Documentation Transition matrix of the drifting Markov Model Description Generic function evaluating the transition matrix of a model x at a given position pos...
/CRAN/refmans/drimmR/html/getTransitionMatrix.html
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:transition, transition, :matrix, matrix, markov and markov |
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R: Get transition matrix of the drifting Markov Model
getTransitionMatrix.dmm {drimmR} R Documentation Get transition matrix of the drifting Markov Model Description Evaluate the transition matrix of the DMM at a given position Usage ## S3 method...
/CRAN/refmans/drimmR/html/getTransitionMatrix.dmm.html
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:transition, transition, :matrix, matrix, markov and markov |
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R: Stationary distribution of Markov transition matrix.
...Markov transition matrix. Description Calculate the stationary probability distribution vector p for a transition matrix Q of a continuous-time Markov chain. That is, calculate p\in[0,1]^n such that...
/CRAN/refmans/castor/html/get_stationary_distribution.html
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:transition, transition, :matrix, matrix, markov and markov |
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R: Transition matrix of a Markov chain that guides the movement...
robotMatrix {FuzzyStatProb} R Documentation Transition matrix of a Markov chain that guides the movement of an autonomous patrolling robot Description Transition matrix of a Markov chain that guides...
/CRAN/refmans/FuzzyStatProb/html/robotMatrix.html
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R: Estimate transition matrix and spent time
...Estimate transition matrix and spent time Description Calculates crude initial values for transition intensities by assuming that the data represent the exact transition times of the Markov process.
/CRAN/refmans/cfda/html/estimate_Markov.html
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:transition, transition, :matrix, matrix, markov and markov |
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R: Evaluate Markov Model Transition Matrix
...{heemod} R Documentation Evaluate Markov Model Transition Matrix Description Evaluate a transition matrix using evaluated parameters. Usage eval_transition(x, parameters) Arguments x an uneval_matrix...
/CRAN/refmans/heemod/html/eval_transition.html
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:transition, :transition, transition, :matrix, matrix, markov and markov |
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R: Create CLKs with Markov Chain-based transition matrix
...Create CLKs with Markov Chain-based transition matrix Description Builds CLKs encoding additional bigrams based on the transition probabilities as estimated by a Markov Chain. Usage CreateMarkovCLK(ID...
/CRAN/refmans/PPRL/html/CreateMarkovCLK.html
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:transition, transition, :matrix, matrix, markov and markov |
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R: Estimation of the transition matrix of a Markov chain
...of the transition matrix of a Markov chain Description It estimates the transition matrix of a Makov chain to model the dependence between the discrete marks of a marked point process. The estimator...
/CRAN/refmans/IndTestPP/html/TranM.html
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:transition, transition, :matrix, matrix, markov and markov |
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R: Check Markov Model Transition Matrix
check_matrix {heemod} R Documentation Check Markov Model Transition Matrix Description Check whether a matrix fulfills the conditions to be a transition matrix. Usage check_matrix(x) Arguments x...
/CRAN/refmans/heemod/html/check_matrix.html
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:transition, transition, :matrix, :matrix, matrix, markov and markov |
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R: Return Markov Model Transition Matrix Order
...Return Markov Model Transition Matrix Order Description A generic that works both with uneval_matrix and eval_matrix. Usage get_matrix_order(x) Arguments x A transition matrix, evaluated or not.
/CRAN/refmans/heemod/html/get_matrix_order.html
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:transition, transition, :matrix, :matrix, matrix, markov and markov |
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R: Define Transition Matrix for Markov Model
...Define Transition Matrix for Markov Model Description Define a matrix of transition probabilities. Probability can depend on parameters defined with define_parameters(), and can thus be time-dependent.
/CRAN/refmans/heemod/html/define_transition.html
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:transition, :transition, transition, :matrix, matrix, markov and markov |
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R: Get Markov Model Transition Matrix
get_transition {heemod} R Documentation Get Markov Model Transition Matrix Description Works on both unevaluated and evaluated models. Usage get_transition(x) Arguments x An uneval_model or eval_model...
/CRAN/refmans/heemod/html/get_transition.html
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:transition, :transition, transition, :matrix, matrix, markov and markov |
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R: Simulation of a finite Markov chain
...Simulation of a finite Markov chain Description This function generates a Markov chain X(1), ..., X(n) with transition matrix Q, starting from a state eta0. Usage Sim.Markov.Chain(Q, n, eta0)...
/CRAN/refmans/GaussianHMM1d/html/Sim.Markov.Chain.html
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R: Generate Markov Trajectories
generate_Markov {cfda} R Documentation Generate Markov Trajectories Description Simulate individuals from a Markov process defined by a transition matrix, time spent in each time and initial...
/CRAN/refmans/cfda/html/generate_Markov.html
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R: Definition of Markov model and trace
...Markov model and trace Description Definition of Markov model and trace Usage markov_model( current_strategy, cycles, initial_state, discount = c(0, 0), parameter_values = NULL, half_cycle_correction...
/CRAN/refmans/packDAMipd/html/markov_model.html
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R: Definition of Markov model and trace
...Definition of Markov model and trace Description Definition of Markov model and trace Usage markov_model_sojourntime( current_strategy, nCycles, initial_state, discount = c(0, 0), parameter_values...
/CRAN/refmans/packDAMipd/html/markov_model_sojourntime.html
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R: Diffusion probability matrix from transition matrix
...tau) Arguments Pi Transition matrix. We do not use T to avoid conflicts with the abbreviation for TRUE), instead we indicated the transition matrix with the capital greek letter \Pi in the equations...
/CRAN/refmans/diffudist/html/get_diffusion_probability_matrix_from_T.html
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:transition, transition, :matrix, :matrix, matrix and markov |
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R: A function to estimate the transition matrix for a discrete...
MCEstimation {spuRs} R Documentation A function to estimate the transition matrix for a discrete time Markov chain. Description This function estimates the transition matrix for a discrete time Markov...
/CRAN/refmans/spuRs/html/MCEstimation.html
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:transition, transition, :matrix, matrix and markov |
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R: Generate a random transition matrix for the first order...
...random transition matrix for the first order hidden Markov model Description Generate a random transition matrix under nondecreasing learning trajectory assumption Usage rOmega(TP) Arguments TP A 2^K-...
/CRAN/refmans/hmcdm/html/rOmega.html
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R: Tool to computate the transition matrix for a Continuous Time...
...Tool to computate the transition matrix for a Continuous Time Markov Chain, CTMC. Description Pt2 is used to obtain the transition matrix of a homogeneous continuous time Markov chain for a period...
/CRAN/refmans/modesto/html/Pt2.html
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R: Define a state transition matrix
...only) Details The transition matrix (Markov matrix) is a square, non-symmetric matrix with all elements between 0 and 1, and whose rows must sum to 1 (but not columns). It defines the probability...
/CRAN/refmans/SiMRiv/html/transitionMatrix.html
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R: Transition matrix.
...{MSGARCH} R Documentation Transition matrix. Description Method returning the transition matrix. Usage TransMat(object, ...) ## S3 method for class 'MSGARCH_SPEC' TransMat(object, par = NULL, nahead...
/CRAN/refmans/MSGARCH/html/TransMat.html
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R: Transition matrix estimation
transitionMatrix {uHMM} R Documentation Transition matrix estimation Description This function estimates the transition matrix of a (Hidden) Markov Model from a vector of state sequencing.
/CRAN/refmans/uHMM/html/transitionMatrix.html
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R: HMM Transition matrix functions
...HMM Transition matrix functions Description Functions that compute the transition matrix for various models. Currently only CJS and MS models are included. Usage cjs_gamma(pars, m, F, T) Arguments...
/CRAN/refmans/marked/html/cjs_gamma.html
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R: Diffusion distance matrix from a custom transition matrix
...custom transition matrix Description Returns a matrix where each entry encodes the diffusion distance between two nodes of a network, given a transition matrix on the network and a diffusion time. The...
/CRAN/refmans/diffudist/html/get_distance_matrix_from_T.html
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:transition, transition, :matrix, :matrix, matrix and markov |
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R: Markov model for the online attribution problem.
...Markov model for the online attribution problem. Description Estimate a k-order Markov model from customer journey data. Differently from markov_model, this function iterates estimation until...
/CRAN/refmans/ChannelAttribution/html/markov_model.html
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R: Markov method
markov {comperank} R Documentation Markov method Description Functions to compute rating and ranking using Markov method. Usage rate_markov(cr_data, ..., fill = list(), stoch_modify = teleport(0.15)...
/CRAN/refmans/comperank/html/markov.html
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R: Computation of the empirical transition matrix
etm {etm} R Documentation Computation of the empirical transition matrix Description This function computes the empirical transition matrix, also called Aalen-Johansen estimator, of the transition...
/CRAN/refmans/etm/html/etm.html
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:transition, transition, :matrix, matrix and markov |
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R: Predictions for continuous time, nonhomogeneous Markov...
...time, nonhomogeneous Markov multi-state model. The main inputs are are a list of Aalen's additive hazards models, the initial values, the transition matrix and the covariate patterns. The predictions...
/CRAN/refmans/rstpm2/html/markov_sde.html
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transition, matrix, markov, markov and markov |
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R: Creates Vector of Times Based on First-Order Markov...
...First-Order Markov Transition Matrix Description Creates a vector of randomly sampled years / times to be used in projection. Random sampling requires a 1st order Markovian transition matrix, showing...
/CRAN/refmans/lefko3/html/markov_run.html
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R: A Double Chain Markov Model (DCMM).
...Chain Markov Model (DCMM) represented by Pi, the probability distributions of the first hidden states; by A, the transition matrix between hidden states; by RB, the transition matrix between sucessive...
/CRAN/refmans/march/html/march.Dcmm-class.html
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transition, matrix, markov and markov |
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R: Sampling function for Markov chains
...Markov chains based on a transition matrix. Can be used as parameter for the Monte Carlo function. Usage transmatrix2sequence(matrix, length, initialIndex, score) Arguments matrix transition matrix...
/CRAN/refmans/localScore/html/transmatrix2sequence.html
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R: Simulation of Discrete-Time/State Markov Chain
...time Markov Chain. A Markov Chain is a discrete Markov Process with a state space that usually consists of positive integers. The advantage of a Markov process in a stochastic modeling context is that...
/CRAN/refmans/DTMCPack/html/DTMC.html
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R: A Markov chain of order >= 1.
...Mc-class {march} R Documentation A Markov chain of order >= 1. Description This class describes a Markov chain of order order, represented by matricess RC (transition matrix in reduced form) and RT...
/CRAN/refmans/march/html/march.Mc-class.html
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Higher, possibly multivariate, Order Markov Chains in markovchain package
...Markov chains. The functions are shown as well as simple exmaples Keywords: Higher order Markov chains. 1. Higher Order Markov Chains Continuous time Markov chains are discussed in the CTMC vignette...
/CRAN/packages/markovchain/vignettes/higher_order_markov_chains.pdf
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R: Simulate a continuous time finite state space Markov chain
rcfmc {smfsb} R Documentation Simulate a continuous time finite state space Markov chain Description This function simulates a single realisation from a continuous time Markov chain having a finite...
/CRAN/refmans/smfsb/html/rcfmc.html
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R: Fuzzy Stationary Probabilities from a Sequence of Observations of an Unknown Markov Chain
...of Markov chains from observations linguisticTransitions Transition matrix of a Markov chain that guides the movement of an autonomous patrolling robot robotStates Transition matrix of a Markov chain...
/CRAN/refmans/FuzzyStatProb/html/00Index.html
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transition, matrix, markov and markov |
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R: Create an index matrix for a Markov transition model.
...for a Markov transition model. Description Create an index matrix encoding the parametric structure of the transition rates in a discrete-state continuous-time Markov model (e.g., Mk model of trait...
/CRAN/refmans/castor/html/get_transition_index_matrix.html
all matching:
:transition, :transition, transition, :matrix, :matrix, matrix, markov and markov |
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R: Fit a first-Order Markov Chain to a Sequence of Finite...
estimateMarkovChain {spgs} R Documentation Fit a first-Order Markov Chain to a Sequence of Finite Symbols Description Estimates the transition matrix and stationary distribution of a first-order Markov...
/CRAN/refmans/spgs/html/estimateMarkovChain.html
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transition, matrix, markov and markov |
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R: Simulate a finite state space Markov chain
...given transition matrix. Usage rfmc(n,P,pi0) Arguments n The number of states to be sampled from the Markov chain, including the initial state, which will be sampled using pi0. P The transition matrix...
/CRAN/refmans/smfsb/html/rfmc.html
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transition, matrix, markov and markov |
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R: Estimation of a k-th order Markov chain
...Markov chain Description Estimation of the transition matrix and initial law of a k-th order Markov chain starting from one or several sequences. Usage estimMk(file = NULL, seq, E, k) estimMk(file...
/CRAN/refmans/SMM/html/estimMk.html
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transition, matrix, markov and markov |
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R: fit a hidden Markov model
...mstep Re-estimates the parameters of density function on each iteration lock.transition If TRUE will not re-estimate the transition matrix maxit Maximum number of iterations tol Convergence tolerance ...
/CRAN/refmans/mhsmm/html/hmmfit.html
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R: Derive a standard hidden Markov model from a set of...
deriveHMM {aphid} R Documentation Derive a standard hidden Markov model from a set of sequences. Description deriveHMM calculates the maximum likelihood hidden Markov model from a list of training...
/CRAN/refmans/aphid/html/deriveHMM.html
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R: Easy Handling Discrete Time Markov Chains
...H I K M N O P R S T V Z misc markovchain-package Easy Handling Discrete Time Markov Chains -- A -- absorbingStates Various function to perform structural analysis of DTMC absorbingStates-method Markov...
/CRAN/refmans/markovchain/html/00Index.html
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R: Estimation, Simulation and Reliability of Drifting Markov Models
...(AIC) aic.dmm Evaluate the AIC of a drifting Markov Model availability Availability function bic Bayesian Information Criterion (BIC) bic.dmm Evaluate the BIC of a drifting Markov Model distributions...
/CRAN/refmans/drimmR/html/00Index.html
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R: New state in a Markov jump process
...new_state(prev_state, cum_embedded_mc, u) Arguments prev_state Previous state of the Markov jump process. cum_embedded_mc Transition matrix. u Random value in (0,1). Value Next state of the Markov...
/CRAN/refmans/matrixdist/html/new_state.html
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transition, matrix, markov and markov |
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R: Thompson Confidence Intervals for a Markov chain model.
...a Markov chain model. Description Compute the confidence intervals using Thompson's formula on a march.Mc object. See Thompson SK (1987) Sample size for estimating multinomial proportions, American...
/CRAN/refmans/march/html/march.mc.thompson.html
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transition, matrix, markov and markov |
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R: Maximum Likelihood Estimation (MLE) of a k-th order Markov...
...Markov chain Description Maximum Likelihood Estimation of the transition matrix and initial distribution of a k-th order Markov chain starting from one or several sequences. Usage fitmm(sequences...
/CRAN/refmans/smmR/html/fitmm.html
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R: Build a Markov Model
...Build a Markov Model Description Function build_mm builds and automatically estimates a Markov model. It is also a shortcut for constructing a Markov model as a restricted case of an hmm object.
/CRAN/refmans/seqHMM/html/build_mm.html
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transition, matrix, markov and markov |
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R: calculates the mle. i.e. the row proportions of the...
...counts.to.Markov.mle {RDS} R Documentation calculates the mle. i.e. the row proportions of the transition matrix Description calculates the mle. i.e. the row proportions of the transition matrix...
/CRAN/refmans/RDS/html/transition.counts.to.Markov.mle.html
all matching:
:transition, transition, matrix, markov and markov |
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R: A function to simulate a discrete time Markov chain.
...simulates a discrete time Markov chain with transition matrix P, state space 0,1,..,n and and initial state i for nsteps transitions. Usage MCSimulation(P,i,nsteps) Arguments P the transition matrix.
/CRAN/refmans/spuRs/html/MCSimulation.html
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transition, matrix, markov and markov |
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R: Simulate a first-Order Markov Chain
...Markov chain. Usage simulateMarkovChain(n, trans.mat, init.dist=NULL, states=colnames(trans.mat)) Arguments n the length of the sample path to simulate. trans.mat The transition matrix of the Markov...
/CRAN/refmans/spgs/html/simulateMarkovChain.html
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R: Markov Models for Health Economic Evaluations
Markov Models for Health Economic Evaluations Documentation for package ‘heemod’ version 1.0.1 DESCRIPTION file. User guides, package vignettes and other documentation. Package NEWS. Help Pages A B...
/CRAN/refmans/heemod/html/00Index.html
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transition, matrix, markov and markov |
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R: Simulation of a k-th order Markov chain
...k-th order Markov chain Description Simulation of a k-th order Markov chain starting from a transition matrix and an initial distribution. Usage simulMk(E, nbSeq, lengthSeq, Ptrans, init, k, File.out...
/CRAN/refmans/SMM/html/simulMk.html
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transition, matrix, markov and markov |
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R: Loglikelihood (Markov model)
...Loglikelihood (Markov model) Description Computation of the loglikelihood starting from sequence(s), alphabet, initial distribution, transition matrix Usage LoglikelihoodMk(seq, E, mu, Ptrans, k)...
/CRAN/refmans/SMM/html/LoglikelihoodMk.html
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transition, matrix, markov and markov |
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R: fit a hidden semi-Markov model
hsmmfit {mhsmm} R Documentation fit a hidden semi-Markov model Description Estimates parameters of a HSMM using the EM algorithm. Usage hsmmfit(x,model,mstep=NULL,M=NA,maxit=100, lock.transition=FALSE...
/CRAN/refmans/mhsmm/html/hsmmfit.html
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transition, matrix, markov and markov |
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R: Hidden semi-Markov model specification
...transition,parms.emission,sojourn,dens.emission, rand.emission=NULL,mstep=NULL) Arguments init Distribution of states at t=1 ie. P(S=s) at t=1 transition The transition matrix of the embedded Markov...
/CRAN/refmans/mhsmm/html/hsmmspec.html
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transition, matrix, markov and markov |
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R: Methods for Checking the Markov Condition in Multi-State Survival Data
...Markov condition on Multi-state Models based on the Area Under the two curves (AUC) given by the non-Markov estimators of the transition probabilities to the Markov Aalen-Johansen estimators. colonMSM...
/CRAN/refmans/markovMSM/html/00Index.html
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R: Markov Decision Processes Toolbox
Markov Decision Processes Toolbox Documentation for package ‘MDPtoolbox’ version 4.0.3 DESCRIPTION file. Help Pages MDPtoolbox-package Markov Decision Processes Toolbox MDPtoolbox Markov Decision...
/CRAN/refmans/MDPtoolbox/html/00Index.html
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R: Define a Markov Model
...Markov Model Description Combine information on parameters, transition matrix and states defined through define_parameters(), define_transition() and define_state() respectively. Usage define_strategy...
/CRAN/refmans/heemod/html/define_strategy.html
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R: Multiple Discrete time Markov Chains
...cocurrent Markov Chain simulations. At this time, plotting is not enabled. Usage MultDTMC(nchains, tmat, io, n) Arguments nchains Number of chains to simulate (integer). tmat Transition Matrix io...
/CRAN/refmans/DTMCPack/html/MultDTMC.html
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transition, matrix, markov and markov |
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R: Stationary distribution [Markov chains]
...[Markov chains] Description Calculates stationary distribution of markov transition matrix by use of eigenvectors of length 1 Usage stationary_distribution(m) Arguments m Transition Matrix [matrix...
/CRAN/refmans/localScore/html/stationary_distribution.html
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transition, matrix, markov and markov |
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R: Non-parametric semi-Markov model specification
...semi-Markov model specification Description Creates a non-parametric model specification for a semi-Markov model. Usage smmnonparametric( states, init, ptrans, type.sojourn = c("fij", "fi", "fj", "f")...
/CRAN/refmans/smmR/html/smmnonparametric.html
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transition, matrix, markov and markov |
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R: Generate a sample of a discrete-state Markov chain
...from a discrete-time Markov chain with transition matrix P. Usage rmarkov(n, P, start = rep(1, ncol(P))) Arguments n length of the generated sequence. P transition matrix (rows are normalized to sum...
/CRAN/refmans/MCMCprecision/html/rmarkov.html
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R: Average run length for Bernoulli CUSUM using Markov Chain...
...Markov Chain methodology Description Internal function that discretizes grid and solves matrix equation involving transition matrix for Markov Chain methodology Usage bernoulli_ARL_MC(n_grid, R, h)...
/CRAN/refmans/success/html/bernoulli_ARL_MC.html
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R: Average run length for Bernoulli CUSUM using Markov Chain...
...Markov Chain methodology Description Internal function that discretizes grid and solves matrix equation involving transition matrix for Markov Chain methodology Usage bernoulli_cdf_MC(n_grid, R, r, h...
/CRAN/refmans/success/html/bernoulli_cdf_MC.html
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R: Exact method for p-value [Markov chains]
...[Markov chains] Description Calculates the exact p-value for short numerical Markov chains. Memory usage and time computation can be too large for a high local score value and high score range (see...
/CRAN/refmans/localScore/html/exact_mc.html
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R: Log-rank based test for the validity of the Markov assumption
MarkovTest {mstate} R Documentation Log-rank based test for the validity of the Markov assumption Description Log-rank based test for the validity of the Markov assumption Usage MarkovTest( data, id...
/CRAN/refmans/mstate/html/MarkovTest.html
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R: Hidden Markov Cognitive Diagnosis Models for Learning
...hmcdm: Hidden Markov Cognitive Diagnosis Models for Learning Design_array Design array ETAmat Generate ideal response matrix hmcdm Gibbs sampler for learning models inv_bijectionvector Convert integer...
/CRAN/refmans/hmcdm/html/00Index.html
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R: Generate Markov chain
...Markov chain Description Generate a Markov chain for n individuals or units by specifying a transition matrix. Usage genMarkov( n, transMat, chainLen, wide = FALSE, id = "id", pername = "period"...
/CRAN/refmans/simstudy/html/genMarkov.html
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R: Hidden Markov expectation
...Hidden Markov expectation Description Used in conjunction with mxFitFunctionML, this expectation can express a mixture model (with the transition matrix omitted) or a Hidden Markov model. Usage...
/CRAN/refmans/OpenMx/html/mxExpectationHiddenMarkov.html
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R: Markov Chain class
...Markov Chain class Description The S4 class that describes markovchain objects. Arguments states Name of the states. Must be the same of colnames and rownames of the transition matrix byrow TRUE or...
/CRAN/refmans/markovchain/html/markovchain-class.html
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R: Create surrogate time series via Markov process
...surrogate time series via Markov process Description Create surrogate time series with the same short-term time correlation and overall temporal pattern as the original time series using the Markov...
/CRAN/refmans/synchrony/html/surrogate.ts.html
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R: AIC (Markov model)
AIC_Mk {SMM} R Documentation AIC (Markov model) Description AIC Usage AIC_Mk(seq, E, mu, Ptrans, k) Arguments seq List of sequence(s) E Vector of state space mu Vector of initial distribution Ptrans...
/CRAN/refmans/SMM/html/AIC_Mk.html
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R: Markov Model for Online Multi-Channel Attribution
...Markov Model for Online Multi-Channel Attribution auto_markov_model Automatic Markov Model. ChannelAttribution Markov Model for Online Multi-Channel Attribution choose_order Choose order for Markov...
/CRAN/refmans/ChannelAttribution/html/00Index.html
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R: BIC (Markov model)
BIC_Mk {SMM} R Documentation BIC (Markov model) Description BIC Usage BIC_Mk(seq, E, mu, Ptrans, k) Arguments seq List of sequence(s) E Vector of state space mu Vector of initial distribution Ptrans...
/CRAN/refmans/SMM/html/BIC_Mk.html
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R: Construct an Unsupervised Hidden Markov Model
...Hidden Markov Model Documentation for package ‘uHMM’ version 1.0 DESCRIPTION file. Help Pages uHMM-package Construct an unsupervised Hidden Markov Model computeGap Compute gap between eigenvalues...
/CRAN/refmans/uHMM/html/00Index.html
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R: SMM : Semi-Markov and Markov Models
...{SMM} R Documentation SMM : Semi-Markov and Markov Models Description This package performs parametric and non-parametric estimation and simulation for multi-state discrete-time semi-Markov processes.
/CRAN/refmans/SMM/html/SMM-package.html
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Simple Markov Models (Homogeneous)
...Markov Models (Homogeneous) 2024-01-31 Model description Transition probabilities State values Strategy definitions Running the model Result interpretation The most simple Markov models in health...
/CRAN/packages/heemod/vignettes/c_homogeneous.html
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R: Add Markov chain
...Add Markov chain Description Generate a Markov chain for n individuals or units by specifying a transition matrix. Usage addMarkov( dd, transMat, chainLen, wide = FALSE, id = "id", pername = "period"...
/CRAN/refmans/simstudy/html/addMarkov.html
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R: Hidden Markov model for the mvad data
hmm_mvad {seqHMM} R Documentation Hidden Markov model for the mvad data Description A hidden Markov model (MMM) fitted for the mvad data. Format A hidden Markov model of class hmm; unrestricted model...
/CRAN/refmans/seqHMM/html/hmm_mvad.html
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Simple Markov cohort model
Simple Markov cohort model 2024-02-11 1 Overview 2 Model setup 3 Model parameters 3.1 Estimates from the literature 3.2 Random number generation 3.3 Transformed parameters 4 Simulation 4.1 Constructing...
/CRAN/packages/hesim/vignettes/markov-cohort.html
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R: Generating Realizations of a Hidden Markov Model
HMM_simulation {HMMpa} R Documentation Generating Realizations of a Hidden Markov Model Description This function generates a sequence of hidden states of a Markov chain and a corresponding parallel...
/CRAN/refmans/HMMpa/html/HMM_simulation.html
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R: Global test and local test for checking the Markov condition...
...non-Markov estimators of the transition probabilities to the Markov Aalen-Johansen estimators. Description This function is used to obtain the local and global tests for checking the Markov condition.
/CRAN/refmans/markovMSM/html/AUC.test.html
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R: Modeling Animal Movement with Continuous-Time Discrete-Space Markov Chains
...Markov Chains Documentation for package ‘ctmcmove’ version 1.2.9 DESCRIPTION file. Help Pages ctmcmove-package ctmcmove ctmc.sim Code to simulate a continuous-time Markov chain. ctmc2glm Convert a...
/CRAN/refmans/ctmcmove/html/00Index.html
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R: Build a Hidden Markov Model
...Markov Model Description Function build_hmm constructs a hidden Markov model object of class hmm. Usage build_hmm( observations, n_states, transition_probs, emission_probs, initial_probs, state_names...
/CRAN/refmans/seqHMM/html/build_hmm.html
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R: Parametric semi-Markov model specification
...semi-Markov model specification Description Creates a parametric model specification for a semi-Markov model. Usage smmparametric( states, init, ptrans, type.sojourn = c("fij", "fi", "fj", "f"), distr...
/CRAN/refmans/smmR/html/smmparametric.html
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R: Markov-Switching GARCH Models
Markov-Switching GARCH Models Documentation for package ‘MSGARCH’ version 2.51 DESCRIPTION file. Package NEWS. Help Pages MSGARCH-package The R package MSGARCH CreateSpec Model specification.
/CRAN/refmans/MSGARCH/html/00Index.html
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R: Mixture hidden Markov model for the mvad data
mhmm_mvad {seqHMM} R Documentation Mixture hidden Markov model for the mvad data Description A mixture hidden Markov model (MHMM) fitted for the mvad data. Format A mixture hidden Markov model of class...
/CRAN/refmans/seqHMM/html/mhmm_mvad.html
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R: Point by point estimates of a k-th order drifting Markov...
...Markov Model Description Estimation of d+1 points of support transition matrices and |E|^{k} initial law of a k-th order drifting Markov Model starting from one or several sequences. Usage fitdmm...
/CRAN/refmans/drimmR/html/fitdmm.html
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R: Hidden Markov Model parameter estimation
...Hidden Markov Model parameter estimation Description This function is used by the uHMMinterface to estimate parameters of a Hidden Markov Model. Usage HMMparams(stateSeq, symbolSeq) Arguments stateSeq...
/CRAN/refmans/uHMM/html/HMMparams.html
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R: Function to check if a Markov chain is irreducible (i.e....
...if a Markov chain is irreducible (i.e. ergodic) Description This function verifies whether a markovchain object transition matrix is composed by only one communicating class. Usage is.irreducible...
/CRAN/refmans/markovchain/html/is.irreducible.html
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R: Construct an homogeneous Markov Chain.
...other Markovian models of visible order maxOrder. Usage march.mc.construct(y, order, maxOrder = order) Arguments y the march.Dataset-class from which the homogeneous Markov chain will be constructed.
/CRAN/refmans/march/html/march.mc.construct.html
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R: Run Markov Model
...Run Markov Model Description Runs one or more strategy. When more than one strategy is provided, all strategies should have the same states and state value names. Usage run_model( ..., parameters...
/CRAN/refmans/heemod/html/run_model.html
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R: MCMC Sampler for the Hidden Markov Model with Normal emission...
...Markov Model with Normal emission densities Description MCMC Sampler for the Hidden Markov Model with Normal emission densities Usage hmm_mcmc_normal( data, prior_T, prior_means, prior_sd, iter = 600...
/CRAN/refmans/oHMMed/html/hmm_mcmc_normal.html
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R: Hidden Markov Model (HMM) Training
hmm_train {mlpack} R Documentation Hidden Markov Model (HMM) Training Description An implementation of training algorithms for Hidden Markov Models (HMMs). Given labeled or unlabeled data, an HMM can...
/CRAN/refmans/mlpack/html/hmm_train.html
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R: dsmmR : Estimation and Simulation of Drifting Semi-Markov...
...drifting semi-Markov processes. The definition of parametric and non-parametric model specifications is also possible. Furthermore, three different types of drifting semi-Markov models are considered.
/CRAN/refmans/dsmmR/html/dsmmR-package.html
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R: MCMC Sampler sampler for the Hidden Markov with Gamma-Poisson...
...Markov with Gamma-Poisson emission densities Description MCMC Sampler sampler for the Hidden Markov with Gamma-Poisson emission densities Usage hmm_mcmc_gamma_poisson( data, prior_T, prior_betas...
/CRAN/refmans/oHMMed/html/hmm_mcmc_gamma_poisson.html
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