/usr/lib/R/site-library/MCMCpack/INDEX is in r-cran-mcmcpack 1.3-3-1.
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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 | BayesFactor Create an object of class BayesFactor from
MCMCpack output
Dirichlet The Dirichlet Distribution
HMMpanelFE Markov Chain Monte Carlo for the Hidden Markov
Fixed-effects Model
HMMpanelRE Markov Chain Monte Carlo for the Hidden Markov
Random-effects Model
InvGamma The Inverse Gamma Distribution
InvWishart The Inverse Wishart Distribution
MCMCSVDreg Markov Chain Monte Carlo for SVD Regression
MCMCbinaryChange Markov Chain Monte Carlo for a Binary Multiple
Changepoint Model
MCMCdynamicEI Markov Chain Monte Carlo for Quinn's Dynamic
Ecological Inference Model
MCMCdynamicIRT1d Markov Chain Monte Carlo for Dynamic One
Dimensional Item Response Theory Model
MCMCfactanal Markov Chain Monte Carlo for Normal Theory
Factor Analysis Model
MCMChierEI Markov Chain Monte Carlo for Wakefield's
Hierarchial Ecological Inference Model
MCMChlogit Markov Chain Monte Carlo for the Hierarchical
Binomial Linear Regression Model using the
logit link function
MCMChpoisson Markov Chain Monte Carlo for the Hierarchical
Poisson Linear Regression Model using the log
link function
MCMChregress Markov Chain Monte Carlo for the Hierarchical
Gaussian Linear Regression Model
MCMCintervention Markov Chain Monte Carlo for a linear Gaussian
Multiple Changepoint Model
MCMCirt1d Markov Chain Monte Carlo for One Dimensional
Item Response Theory Model
MCMCirtHier1d Markov Chain Monte Carlo for Hierarchical One
Dimensional Item Response Theory Model,
Covariates Predicting Latent Ideal Point
(Ability)
MCMCirtKd Markov Chain Monte Carlo for K-Dimensional Item
Response Theory Model
MCMCirtKdHet Markov Chain Monte Carlo for Heteroskedastic
K-Dimensional Item Response Theory Model
MCMCirtKdRob Markov Chain Monte Carlo for Robust
K-Dimensional Item Response Theory Model
MCMClogit Markov Chain Monte Carlo for Logistic
Regression
MCMCmetrop1R Metropolis Sampling from User-Written R
function
MCMCmixfactanal Markov Chain Monte Carlo for Mixed Data Factor
Analysis Model
MCMCmnl Markov Chain Monte Carlo for Multinomial
Logistic Regression
MCMCoprobit Markov Chain Monte Carlo for Ordered Probit
Regression
MCMCoprobitChange Markov Chain Monte Carlo for Ordered Probit
Changepoint Regression Model
MCMCordfactanal Markov Chain Monte Carlo for Ordinal Data
Factor Analysis Model
MCMCpoisson Markov Chain Monte Carlo for Poisson Regression
MCMCpoissonChange Markov Chain Monte Carlo for a Poisson
Regression Changepoint Model
MCMCprobit Markov Chain Monte Carlo for Probit Regression
MCMCprobitChange Markov Chain Monte Carlo for a linear Gaussian
Multiple Changepoint Model
MCMCquantreg Bayesian quantile regression using Gibbs
sampling
MCMCregress Markov Chain Monte Carlo for Gaussian Linear
Regression
MCMCregressChange Markov Chain Monte Carlo for a linear Gaussian
Multiple Changepoint Model
MCMCresidualBreakAnalysis
Break Analysis of Univariate Time Series using
Markov Chain Monte Carlo
MCMCtobit Markov Chain Monte Carlo for Gaussian Linear
Regression with a Censored Dependent Variable
MCbinomialbeta Monte Carlo Simulation from a Binomial
Likelihood with a Beta Prior
MCmultinomdirichlet Monte Carlo Simulation from a Multinomial
Likelihood with a Dirichlet Prior
MCnormalnormal Monte Carlo Simulation from a Normal Likelihood
(with known variance) with a Normal Prior
MCpoissongamma Monte Carlo Simulation from a Poisson
Likelihood with a Gamma Prior
Nethvote Dutch Voting Behavior in 1989
NoncenHypergeom The Noncentral Hypergeometric Distribution
PErisk Political Economic Risk Data from 62 Countries
in 1987
PostProbMod Calculate Posterior Probability of Model
Rehnquist U.S. Supreme Court Vote Matrix, Rehnquist Court
(1994-2004)
SSVSquantreg Stochastic search variable selection for
quantile regression
Senate 106th U.S. Senate Roll Call Vote Matrix
SupremeCourt U.S. Supreme Court Vote Matrix
Wishart The Wishart Distribution
choicevar Handle Choice-Specific Covariates in
Multinomial Choice Models
dtomogplot Dynamic Tomography Plot
make.breaklist Vector of break numbers
mptable Calculate the marginal posterior probabilities
of predictors being included in a quantile
regression model.
plot.qrssvs Plot output from quantile regression stochastic
search variable selection (QR-SSVS).
plotChangepoint Posterior Density of Regime Change Plot
plotIntervention Plot of intervention analysis
plotState Changepoint State Plot
procrustes Procrustes Transformation
read.Scythe Read a Matrix from a File written by Scythe
summary.qrssvs Summarising the results of quantile regression
stochastic search variable selection (QR-SSVS).
testpanelGroupBreak A Test for the Group-level Break using a
Multivariate Linear Regression Model with
Breaks
testpanelSubjectBreak A Test for the Subject-level Break using a
Unitivariate Linear Regression Model with
Breaks
tomogplot Tomography Plot
topmodels Shows an ordered list of the most frequently
visited models sampled during quantile
regression stochastic search variable selection
(QR-SSVS).
vech Extract Lower Triangular Elements from a
Symmetric Matrix
write.Scythe Write a Matrix to a File to be Read by Scythe
xpnd Expand a Vector into a Symmetric Matrix
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