Estimation, Simulation and Reliability of Drifting Markov Models

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Documentation for package ‘drimmR’ version 1.0.1

• DESCRIPTION file.
• Package NEWS.

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drimmR-package	drimmR-package
aic	Akaike Information Criterion (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	Distributions for a range of positions between <start> and <end>
drimmR	drimmR-package
failureRate	Failure rates function
fitdmm	Point by point estimates of a k-th order drifting Markov Model
getDistribution	Distributions of the drifting Markov Model
getDistribution.dmm	Get the distributions of the DMM
getStationaryLaw	Stationary laws of the drifting Markov Model
getStationaryLaw.dmm	Get the stationary laws of the DMM
getTransitionMatrix	Transition matrix of the drifting Markov Model
getTransitionMatrix.dmm	Get transition matrix of the drifting Markov Model
lambda	lambda genome
lengthWord_probabilities	Probability of occurrence of the observed word of size m in a sequence at several positions
loglik	Log-likelihood of the drifting Markov Model
loglik.dmm	Evaluate the log-likelihood of a drifting Markov Model
maintainability	Maintainability function
reliability	Reliability function
simulate	Simulate a sequence under a drifting Markov model
simulate.dmm	Simulate a sequence under a drifting Markov model
stationary_distributions	Stationary laws for a range of positions between <start> and <end>
words_probabilities	Probability of appearance of several words at several positions of a DMM
word_probabilities	Probabilities of a word at several positions of a DMM
word_probability	Probability of a word at a position t of a DMM