Complete Environment for Bayesian Inference


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Documentation for package ‘LaplacesDemon’ version 16.1.6

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A B C D E G H I J K L M P Q R S T U V W misc

LaplacesDemon-package Complete Environment for Bayesian Inference

-- A --

ABB Approximate Bayesian Bootstrap
AcceptanceRate Acceptance Rate
as.covar Proposal Covariance
as.indicator.matrix Matrix Utility Functions
as.initial.values Initial Values
as.inverse Matrix Utility Functions
as.parm.matrix Matrix Utility Functions
as.parm.names Parameter Names
as.positive.definite Matrix Utility Functions
as.positive.semidefinite Matrix Utility Functions
as.ppc As Posterior Predictive Check
as.symmetric.matrix Matrix Utility Functions

-- B --

BayesFactor Bayes Factor
BayesianBootstrap The Bayesian Bootstrap
BayesTheorem Bayes' Theorem
BigData Big Data
Blocks Blocks
BMK.Diagnostic BMK Convergence Diagnostic
burnin Burn-in

-- C --

caterpillar.plot Caterpillar Plot
CenterScale Centering and Scaling
cloglog The log-log and complementary log-log functions
Combine Combine Demonoid Objects
cond.plot Conditional Plots
Consort Consort with Laplace's Demon
Cov2Cor Matrix Utility Functions
Cov2Prec Precision
CovEstim Matrix Utility Functions
CSF Cumulative Sample Function

-- D --

dalaplace Asymmetric Laplace Distribution: Univariate
dallaplace Asymmetric Log-Laplace Distribution
daml Asymmetric Multivariate Laplace Distribution
dbern Bernoulli Distribution
dcat Categorical Distribution
dcrmrf Continuous Relaxation of a Markov Random Field Distribution
ddirichlet Dirichlet Distribution
de.Finetti.Game de Finetti's Game
deburn De-Burn
delicit Prior Elicitation
demonchoice Demon Choice Data Set
demonfx Demon FX Data Set
demonsessions Demon Sessions Data Set
demonsnacks Demon Snacks Data Set
demontexas Demon Space-Time Data Set
dgpd Generalized Pareto Distribution
dgpois Generalized Poisson Distribution
dhalfcauchy Half-Cauchy Distribution
dhalfnorm Half-Normal Distribution
dhalft Half-t Distribution
dhs Horseshoe Distribution
dhuangwand Huang-Wand Distribution
dhuangwandc Huang-Wand Distribution
dhyperg Hyperprior-g Prior and Zellner's g-Prior
dinvbeta Inverse Beta Distribution
dinvchisq (Scaled) Inverse Chi-Squared Distribution
dinvgamma Inverse Gamma Distribution
dinvgaussian Inverse Gaussian Distribution
dinvmatrixgamma Inverse Matrix Gamma Distribution
dinvwishart Inverse Wishart Distribution
dinvwishartc Inverse Wishart Distribution: Cholesky Parameterization
dlaplace Laplace Distribution: Univariate Symmetric
dlaplacem Mixture of Laplace Distributions
dlaplacep Laplace Distribution: Precision Parameterization
dlasso LASSO Distribution
dllaplace Log-Laplace Distribution: Univariate Symmetric
dlnormp Log-Normal Distribution: Precision Parameterization
dmatrixgamma Matrix Gamma Distribution
dmatrixnorm Matrix Normal Distribution
dmvc Multivariate Cauchy Distribution
dmvcc Multivariate Cauchy Distribution: Cholesky Parameterization
dmvcp Multivariate Cauchy Distribution: Precision Parameterization
dmvcpc Multivariate Cauchy Distribution: Precision-Cholesky Parameterization
dmvl Multivariate Laplace Distribution
dmvlc Multivariate Laplace Distribution: Cholesky Parameterization
dmvn Multivariate Normal Distribution
dmvnc Multivariate Normal Distribution: Cholesky Parameterization
dmvnp Multivariate Normal Distribution: Precision Parameterization
dmvnpc Multivariate Normal Distribution: Precision-Cholesky Parameterization
dmvpe Multivariate Power Exponential Distribution
dmvpec Multivariate Power Exponential Distribution: Cholesky Parameterization
dmvpolya Multivariate Polya Distribution
dmvt Multivariate t Distribution
dmvtc Multivariate t Distribution: Cholesky Parameterization
dmvtp Multivariate t Distribution: Precision Parameterization
dmvtpc Multivariate t Distribution: Precision-Cholesky Parameterization
dnorminvwishart Normal-Inverse-Wishart Distribution
dnormlaplace Normal-Laplace Distribution: Univariate Asymmetric
dnormm Mixture of Normal Distributions
dnormp Normal Distribution: Precision Parameterization
dnormv Normal Distribution: Variance Parameterization
dnormwishart Normal-Wishart Distribution
dpareto Pareto Distribution
dpe Power Exponential Distribution: Univariate Symmetric
dsdlaplace Skew Discrete Laplace Distribution: Univariate
dsiw Scaled Inverse Wishart Distribution
dslaplace Skew-Laplace Distribution: Univariate
dst Student t Distribution: Univariate
dStick Truncated Stick-Breaking Prior Distribution
dstp Student t Distribution: Precision Parameterization
dtrunc Truncated Distributions
dwishart Wishart Distribution
dwishartc Wishart Distribution: Cholesky Parameterization
dyangberger Yang-Berger Distribution
dyangbergerc Yang-Berger Distribution
dzellner Hyperprior-g Prior and Zellner's g-Prior

-- E --

elicit Prior Elicitation
ESS Effective Sample Size due to Autocorrelation
extrunc Truncated Distributions

-- G --

GaussHermiteCubeRule Matrix Utility Functions
GaussHermiteQuadRule Math Utility Functions
Gelfand.Diagnostic Gelfand's Convergence Diagnostic
Gelman.Diagnostic Gelman and Rubin's MCMC Convergence Diagnostic
Geweke.Diagnostic Geweke's Convergence Diagnostic
GIV Generate Initial Values

-- H --

Hangartner.Diagnostic Hangartner's Convergence Diagnostic
Heidelberger.Diagnostic Heidelberger and Welch's MCMC Convergence Diagnostic
Hermite Math Utility Functions
Hessian Matrix Utility Functions

-- I --

IAT Integrated Autocorrelation Time
Importance Variable Importance
interval Constrain to Interval
invcloglog The log-log and complementary log-log functions
invlogit The logit and inverse-logit functions
invloglog The log-log and complementary log-log functions
is.amodal The Mode(s) of a Vector
is.appeased Appeased
is.bayesfactor Logical Check of Classes
is.bayesian Logical Check of a Bayesian Model
is.bimodal The Mode(s) of a Vector
is.blocks Logical Check of Classes
is.bmk Logical Check of Classes
is.constant Logical Check of a Constant
is.constrained Logical Check of Constraints
is.data Logical Check of Data
is.demonoid Logical Check of Classes
is.demonoid.hpc Logical Check of Classes
is.demonoid.ppc Logical Check of Classes
is.demonoid.val Logical Check of Classes
is.hangartner Logical Check of Classes
is.heidelberger Logical Check of Classes
is.importance Logical Check of Classes
is.iterquad Logical Check of Classes
is.iterquad.ppc Logical Check of Classes
is.juxtapose Logical Check of Classes
is.laplace Logical Check of Classes
is.laplace.ppc Logical Check of Classes
is.miss Logical Check of Classes
is.model Logical Check of a Model
is.multimodal The Mode(s) of a Vector
is.pmc Logical Check of Classes
is.pmc.ppc Logical Check of Classes
is.pmc.val Logical Check of Classes
is.positive.definite Matrix Utility Functions
is.positive.semidefinite Matrix Utility Functions
is.posteriorchecks Logical Check of Classes
is.proper Logical Check of Propriety
is.raftery Logical Check of Classes
is.rejection Logical Check of Classes
is.sensitivity Logical Check of Classes
is.square.matrix Matrix Utility Functions
is.stationary Logical Check of Stationarity
is.symmetric.matrix Matrix Utility Functions
is.trimodal The Mode(s) of a Vector
is.unimodal The Mode(s) of a Vector
is.vb Logical Check of Classes
is.vb.ppc Logical Check of Classes
IterativeQuadrature Iterative Quadrature

-- J --

Jacobian Matrix Utility Functions
joint.density.plot Joint Density Plot
joint.pr.plot Joint Probability Region Plot
Juxtapose Juxtapose MCMC Algorithm Inefficiency

-- K --

KLD Kullback-Leibler Divergence (KLD)
KS.Diagnostic Kolmogorov-Smirnov Convergence Diagnostic

-- L --

LaplaceApproximation Laplace Approximation
LaplacesDemon Laplace's Demon
LaplacesDemon.hpc Laplace's Demon
LaplacesDemon.RAM LaplacesDemon RAM Estimate
Levene.Test Levene's Test
LML Logarithm of the Marginal Likelihood
logadd Math Utility Functions
logdet Matrix Utility Functions
logit The logit and inverse-logit functions
loglog The log-log and complementary log-log functions
LossMatrix Loss Matrix
lower.triangle Matrix Utility Functions
LPL.interval Lowest Posterior Loss Interval

-- M --

MCSE Monte Carlo Standard Error
MCSS Monte Carlo Standard Error
MinnesotaPrior Minnesota Prior
MISS Multiple Imputation Sequential Sampling
Mode The Mode(s) of a Vector
Model.Spec.Time Model Specification Time
Modes The Mode(s) of a Vector

-- P --

p.interval Probability Interval
palaplace Asymmetric Laplace Distribution: Univariate
pallaplace Asymmetric Log-Laplace Distribution
partial Math Utility Functions
pbern Bernoulli Distribution
phalfcauchy Half-Cauchy Distribution
phalfnorm Half-Normal Distribution
phalft Half-t Distribution
plaplace Laplace Distribution: Univariate Symmetric
plaplacem Mixture of Laplace Distributions
plaplacep Laplace Distribution: Precision Parameterization
pllaplace Log-Laplace Distribution: Univariate Symmetric
plnormp Log-Normal Distribution: Precision Parameterization
plot.bmk Plot Hellinger Distances
plot.demonoid Plot samples from the output of Laplace's Demon
plot.demonoid.hpc Plot samples from the output of Laplace's Demon
plot.demonoid.ppc Plots of Posterior Predictive Checks
plot.importance Plot Variable Importance
plot.iterquad Plot the output of 'IterativeQuadrature'
plot.iterquad.ppc Plots of Posterior Predictive Checks
plot.juxtapose Plot MCMC Juxtaposition
plot.laplace Plot the output of 'LaplaceApproximation'
plot.laplace.ppc Plots of Posterior Predictive Checks
plot.miss Plot samples from the output of MISS
plot.pmc Plot samples from the output of PMC
plot.pmc.ppc Plots of Posterior Predictive Checks
plot.vb Plot the output of 'VariationalBayes'
plot.vb.ppc Plots of Posterior Predictive Checks
plotMatrix Plot a Numerical Matrix
plotSamples Plot Samples
PMC Population Monte Carlo
PMC.RAM PMC RAM Estimate
pnormm Mixture of Normal Distributions
pnormp Normal Distribution: Precision Parameterization
pnormv Normal Distribution: Variance Parameterization
PosteriorChecks Posterior Checks
ppareto Pareto Distribution
ppe Power Exponential Distribution: Univariate Symmetric
Prec2Cov Precision
prec2sd Precision
prec2var Precision
predict.demonoid Posterior Predictive Checks
predict.iterquad Posterior Predictive Checks
predict.laplace Posterior Predictive Checks
predict.pmc Posterior Predictive Checks
predict.vb Posterior Predictive Checks
print.demonoid Print an object of class 'demonoid' to the screen.
print.heidelberger Print an object of class 'heidelberger' to the screen.
print.iterquad Print an object of class 'iterquad' to the screen.
print.laplace Print an object of class 'laplace' to the screen.
print.miss Print an object of class 'miss' to the screen.
print.pmc Print an object of class 'pmc' to the screen.
print.raftery Print an object of class 'raftery' to the screen.
print.vb Print an object of class 'vb' to the screen.
psdlaplace Skew Discrete Laplace Distribution: Univariate
pslaplace Skew-Laplace Distribution: Univariate
pst Student t Distribution: Univariate
pstp Student t Distribution: Precision Parameterization
ptrunc Truncated Distributions

-- Q --

qalaplace Asymmetric Laplace Distribution: Univariate
qallaplace Asymmetric Log-Laplace Distribution
qbern Bernoulli Distribution
qcat Categorical Distribution
qhalfcauchy Half-Cauchy Distribution
qhalfnorm Half-Normal Distribution
qhalft Half-t Distribution
qlaplace Laplace Distribution: Univariate Symmetric
qlaplacep Laplace Distribution: Precision Parameterization
qllaplace Log-Laplace Distribution: Univariate Symmetric
qlnormp Log-Normal Distribution: Precision Parameterization
qnormp Normal Distribution: Precision Parameterization
qnormv Normal Distribution: Variance Parameterization
qpareto Pareto Distribution
qpe Power Exponential Distribution: Univariate Symmetric
qsdlaplace Skew Discrete Laplace Distribution: Univariate
qslaplace Skew-Laplace Distribution: Univariate
qst Student t Distribution: Univariate
qstp Student t Distribution: Precision Parameterization
qtrunc Truncated Distributions

-- R --

Raftery.Diagnostic Raftery and Lewis's diagnostic
ralaplace Asymmetric Laplace Distribution: Univariate
rallaplace Asymmetric Log-Laplace Distribution
raml Asymmetric Multivariate Laplace Distribution
rbern Bernoulli Distribution
rcat Categorical Distribution
rcrmrf Continuous Relaxation of a Markov Random Field Distribution
rdirichlet Dirichlet Distribution
read.matrix Matrix Utility Functions
RejectionSampling Rejection Sampling
rgpd Generalized Pareto Distribution
rhalfcauchy Half-Cauchy Distribution
rhalfnorm Half-Normal Distribution
rhalft Half-t Distribution
rhs Horseshoe Distribution
rhuangwand Huang-Wand Distribution
rhuangwandc Huang-Wand Distribution
rinvbeta Inverse Beta Distribution
rinvchisq (Scaled) Inverse Chi-Squared Distribution
rinvgamma Inverse Gamma Distribution
rinvgaussian Inverse Gaussian Distribution
rinvwishart Inverse Wishart Distribution
rinvwishartc Inverse Wishart Distribution: Cholesky Parameterization
rlaplace Laplace Distribution: Univariate Symmetric
rlaplacem Mixture of Laplace Distributions
rlaplacep Laplace Distribution: Precision Parameterization
rlasso LASSO Distribution
rllaplace Log-Laplace Distribution: Univariate Symmetric
rlnormp Log-Normal Distribution: Precision Parameterization
rmatrixnorm Matrix Normal Distribution
rmvc Multivariate Cauchy Distribution
rmvcc Multivariate Cauchy Distribution: Cholesky Parameterization
rmvcp Multivariate Cauchy Distribution: Precision Parameterization
rmvcpc Multivariate Cauchy Distribution: Precision-Cholesky Parameterization
rmvl Multivariate Laplace Distribution
rmvlc Multivariate Laplace Distribution: Cholesky Parameterization
rmvn Multivariate Normal Distribution
rmvnc Multivariate Normal Distribution: Cholesky Parameterization
rmvnp Multivariate Normal Distribution: Precision Parameterization
rmvnpc Multivariate Normal Distribution: Precision-Cholesky Parameterization
rmvpe Multivariate Power Exponential Distribution
rmvpec Multivariate Power Exponential Distribution: Cholesky Parameterization
rmvpolya Multivariate Polya Distribution
rmvt Multivariate t Distribution
rmvtc Multivariate t Distribution: Cholesky Parameterization
rmvtp Multivariate t Distribution: Precision Parameterization
rmvtpc Multivariate t Distribution: Precision-Cholesky Parameterization
rnorminvwishart Normal-Inverse-Wishart Distribution
rnormlaplace Normal-Laplace Distribution: Univariate Asymmetric
rnormm Mixture of Normal Distributions
rnormp Normal Distribution: Precision Parameterization
rnormv Normal Distribution: Variance Parameterization
rnormwishart Normal-Wishart Distribution
rpareto Pareto Distribution
rpe Power Exponential Distribution: Univariate Symmetric
rsdlaplace Skew Discrete Laplace Distribution: Univariate
rsiw Scaled Inverse Wishart Distribution
rslaplace Skew-Laplace Distribution: Univariate
rst Student t Distribution: Univariate
rStick Truncated Stick-Breaking Prior Distribution
rstp Student t Distribution: Precision Parameterization
rtrunc Truncated Distributions
rwishart Wishart Distribution
rwishartc Wishart Distribution: Cholesky Parameterization
rzellner Hyperprior-g Prior and Zellner's g-Prior

-- S --

sd2prec Precision
sd2var Precision
SensitivityAnalysis Sensitivity Analysis
server_Listening Server Listening
SIR Sampling Importance Resampling
SparseGrid Matrix Utility Functions
Stick Truncated Stick-Breaking
summary.demonoid.ppc Posterior Predictive Check Summary
summary.iterquad.ppc Posterior Predictive Check Summary
summary.laplace.ppc Posterior Predictive Check Summary
summary.miss MISS Summary
summary.pmc.ppc Posterior Predictive Check Summary
summary.vb.ppc Posterior Predictive Check Summary

-- T --

Thin Thin
tr Matrix Utility Functions
TransitionMatrix Matrix Utility Functions

-- U --

upper.triangle Matrix Utility Functions

-- V --

Validate Holdout Validation
var2prec Precision
var2sd Precision
VariationalBayes Variational Bayes
vartrunc Truncated Distributions

-- W --

WAIC Widely Applicable Information Criterion

-- misc --

.colVars Complete Environment for Bayesian Inference
.iqagh Complete Environment for Bayesian Inference
.iqaghsg Complete Environment for Bayesian Inference
.iqcagh Complete Environment for Bayesian Inference
.laaga Complete Environment for Bayesian Inference
.labfgs Complete Environment for Bayesian Inference
.labhhh Complete Environment for Bayesian Inference
.lacg Complete Environment for Bayesian Inference
.ladfp Complete Environment for Bayesian Inference
.lahar Complete Environment for Bayesian Inference
.lahj Complete Environment for Bayesian Inference
.lalbfgs Complete Environment for Bayesian Inference
.lalm Complete Environment for Bayesian Inference
.lanm Complete Environment for Bayesian Inference
.lanr Complete Environment for Bayesian Inference
.lapso Complete Environment for Bayesian Inference
.larprop Complete Environment for Bayesian Inference
.lasgd Complete Environment for Bayesian Inference
.lasoma Complete Environment for Bayesian Inference
.laspg Complete Environment for Bayesian Inference
.lasr1 Complete Environment for Bayesian Inference
.latr Complete Environment for Bayesian Inference
.mcmcadmg Complete Environment for Bayesian Inference
.mcmcafss Complete Environment for Bayesian Inference
.mcmcagg Complete Environment for Bayesian Inference
.mcmcahmc Complete Environment for Bayesian Inference
.mcmcaies Complete Environment for Bayesian Inference
.mcmcam Complete Environment for Bayesian Inference
.mcmcamm Complete Environment for Bayesian Inference
.mcmcamm.b Complete Environment for Bayesian Inference
.mcmcamwg Complete Environment for Bayesian Inference
.mcmccharm Complete Environment for Bayesian Inference
.mcmcdemc Complete Environment for Bayesian Inference
.mcmcdram Complete Environment for Bayesian Inference
.mcmcdrm Complete Environment for Bayesian Inference
.mcmcess Complete Environment for Bayesian Inference
.mcmcgg Complete Environment for Bayesian Inference
.mcmcggcp Complete Environment for Bayesian Inference
.mcmcggcpp Complete Environment for Bayesian Inference
.mcmcggdp Complete Environment for Bayesian Inference
.mcmcggdpp Complete Environment for Bayesian Inference
.mcmcgibbs Complete Environment for Bayesian Inference
.mcmcharm Complete Environment for Bayesian Inference
.mcmchmc Complete Environment for Bayesian Inference
.mcmchmcda Complete Environment for Bayesian Inference
.mcmcim Complete Environment for Bayesian Inference
.mcmcinca Complete Environment for Bayesian Inference
.mcmcmala Complete Environment for Bayesian Inference
.mcmcmcmcmc Complete Environment for Bayesian Inference
.mcmcmtm Complete Environment for Bayesian Inference
.mcmcmwg Complete Environment for Bayesian Inference
.mcmcnuts Complete Environment for Bayesian Inference
.mcmcohss Complete Environment for Bayesian Inference
.mcmcram Complete Environment for Bayesian Inference
.mcmcrdmh Complete Environment for Bayesian Inference
.mcmcrefractive Complete Environment for Bayesian Inference
.mcmcrj Complete Environment for Bayesian Inference
.mcmcrss Complete Environment for Bayesian Inference
.mcmcrwm Complete Environment for Bayesian Inference
.mcmcsamwg Complete Environment for Bayesian Inference
.mcmcsgld Complete Environment for Bayesian Inference
.mcmcslice Complete Environment for Bayesian Inference
.mcmcsmwg Complete Environment for Bayesian Inference
.mcmcthmc Complete Environment for Bayesian Inference
.mcmctwalk Complete Environment for Bayesian Inference
.mcmcuess Complete Environment for Bayesian Inference
.mcmcusamwg Complete Environment for Bayesian Inference
.mcmcusmwg Complete Environment for Bayesian Inference
.rowVars Complete Environment for Bayesian Inference
.vbsalimans2 Complete Environment for Bayesian Inference