/usr/lib/R/site-library/LearnBayes/INDEX is in r-cran-learnbayes 2.15-3.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 | achievement School achievement data
baseball.1964 Team records in the 1964 National League
baseball season
bayes.influence Observation sensitivity analysis in
beta-binomial model
bayes.model.selection Bayesian regression model selection using G
priors
bayes.probit Simulates from a probit binary response
regression model using data augmentation and
Gibbs sampling
bayesresiduals Computation of posterior residual outlying
probabilities for a linear regression model
bermuda.grass Bermuda grass experiment data
beta.select Selection of Beta Prior Given Knowledge of Two
Quantiles
betabinexch Log posterior of logit mean and log precision
for Binomial/beta exchangeable model
betabinexch0 Log posterior of mean and precision for
Binomial/beta exchangeable model
bfexch Logarithm of integral of Bayes factor for
testing homogeneity of proportions
bfindep Bayes factor against independence assuming
alternatives close to independence
binomial.beta.mix Computes the posterior for binomial sampling
and a mixture of betas prior
birdextinct Bird measurements from British islands
birthweight Birthweight regression study
blinreg Simulation from Bayesian linear regression
model
blinregexpected Simulates values of expected response for
linear regression model
blinregpred Simulates values of predicted response for
linear regression model
bprobit.probs Simulates fitted probabilities for a probit
regression model
bradley.terry.post Log posterior of a Bradley Terry random effects
model
breastcancer Survival experience of women with breast cancer
under treatment
calculus.grades Calculus grades dataset
cancermortality Cancer mortality data
careertraj.setup Setup for Career Trajectory Application
cauchyerrorpost Log posterior of median and log scale
parameters for Cauchy sampling
chemotherapy Chemotherapy treatment effects on ovarian
cancer
ctable Bayes factor against independence using uniform
priors
darwin Darwin's data on plants
discint Highest probability interval for a discrete
distribution
discrete.bayes Posterior distribution with discrete priors
discrete.bayes.2 Posterior distribution of two parameters with
discrete priors
dmnorm The probability density function for the
multivariate normal (Gaussian) probability
distribution
dmt Probability density function for multivariate t
donner Donner survival study
election Florida election data
election.2008 Poll data from 2008 U.S. Presidential Election
footballscores Game outcomes and point spreads for American
football
gibbs Metropolis within Gibbs sampling algorithm of a
posterior distribution
groupeddatapost Log posterior of normal parameters when data is
in grouped form
hearttransplants Heart transplant mortality data
hiergibbs Gibbs sampling for a hierarchical regression
model
histprior Density function of a histogram distribution
howardprior Logarithm of Howard's dependent prior for two
proportions
impsampling Importance sampling using a t proposal density
indepmetrop Independence Metropolis independence chain of a
posterior distribution
iowagpa Admissions data for an university
jeter2004 Hitting data for Derek Jeter
laplace Summarization of a posterior density by the
Laplace method
lbinorm Logarithm of bivariate normal density
logctablepost Log posterior of difference and sum of logits
in a 2x2 table
logisticpost Log posterior for a binary response model with
a logistic link and a uniform prior
logpoissgamma Log posterior with Poisson sampling and gamma
prior
logpoissnormal Log posterior with Poisson sampling and normal
prior
marathontimes Marathon running times
mnormt.onesided Bayesian test of one-sided hypothesis about a
normal mean
mnormt.twosided Bayesian test of a two-sided hypothesis about a
normal mean
mycontour Contour plot of a bivariate density function
normal.normal.mix Computes the posterior for normal sampling and
a mixture of normals prior
normal.select Selection of Normal Prior Given Knowledge of
Two Quantiles
normchi2post Log posterior density for mean and variance for
normal sampling
normnormexch Log posterior of mean and log standard
deviation for Normal/Normal exchangeable model
normpostpred Posterior predictive simulation from Bayesian
normal sampling model
normpostsim Simulation from Bayesian normal sampling model
ordergibbs Gibbs sampling for a hierarchical regression
model
pbetap Predictive distribution for a binomial sample
with a beta prior
pbetat Bayesian test of a proportion
pdisc Posterior distribution for a proportion with
discrete priors
pdiscp Predictive distribution for a binomial sample
with a discrete prior
poissgamexch Log posterior of Poisson/gamma exchangeable
model
poisson.gamma.mix Computes the posterior for Poisson sampling and
a mixture of gammas prior
predplot Plot of predictive distribution for binomial
sampling with a beta prior
prior.two.parameters Construct discrete uniform prior for two
parameters
puffin Bird measurements from British islands
rdirichlet Random draws from a Dirichlet distribution
reg.gprior.post Computes the log posterior of a normal
regression model with a g prior.
regroup Collapses a matrix by summing over rows
rejectsampling Rejecting sampling using a t proposal density
rigamma Random number generation for inverse gamma
distribution
rmnorm Random number generation for multivariate
normal
rmt Random number generation for multivariate t
robustt Gibbs sampling for a robust regression model
rtruncated Simulates from a truncated probability
distribution
rwmetrop Random walk Metropolis algorithm of a posterior
distribution
schmidt Batting data for Mike Schmidt
simcontour Simulated draws from a bivariate density
function on a grid
sir Sampling importance resampling
sluggerdata Hitting statistics for ten great baseball
players
soccergoals Goals scored by professional soccer team
stanfordheart Data from Stanford Heart Transplanation Program
strikeout Baseball strikeout data
studentdata Student dataset
transplantpost Log posterior of a Pareto model for survival
data
triplot Plot of prior, likelihood and posterior for a
proportion
weibullregpost Log posterior of a Weibull proportional odds
model for survival data
|