This file is indexed.

/usr/lib/R/site-library/MCMCpack/INDEX is in r-cran-mcmcpack 1.4-0-1.

This file is owned by root:root, with mode 0o644.

The actual contents of the file can be viewed below.

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BayesFactor             Create an object of class BayesFactor from
                        MCMCpack output
Dirichlet               The Dirichlet Distribution
HDPHMMnegbin            Markov Chain Monte Carlo for sticky HDP-HMM
                        with a Negative Binomial outcome distribution
HDPHMMpoisson           Markov Chain Monte Carlo for sticky HDP-HMM
                        with a Poisson outcome distribution
HDPHSMMnegbin           Markov Chain Monte Carlo for HDP-HSMM with a
                        Negative Binomial outcome 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_b      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
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
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
MCMCnegbin              Markov Chain Monte Carlo for Negative Binomial
                        Regression
MCMCnegbinChange        Markov Chain Monte Carlo for Negative Binomial
                        Regression Changepoint Model
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
plotHDPChangepoint      Posterior Changepoint Probabilities from
                        HDP-HMM
plotState               Changepoint State Plot
procrustes              Procrustes Transformation
read.Scythe             Read a Matrix from a File written by Scythe
summaryqrssvs           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