/usr/lib/R/site-library/bayesm/INDEX is in r-cran-bayesm 3.0-2-2.
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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 | Scotch Survey Data on Brands of Scotch Consumed
bank Bank Card Conjoint Data of Allenby and Ginter
(1995)
breg Posterior Draws from a Univariate Regression
with Unit Error Variance
cgetC Obtain A List of Cut-offs for Scale Usage
Problems
cheese Sliced Cheese Data
clusterMix Cluster Observations Based on Indicator MCMC
Draws
condMom Computes Conditional Mean/Var of One Element of
MVN given All Others
createX Create X Matrix for Use in Multinomial Logit
and Probit Routines
customerSat Customer Satisfaction Data
detailing Physician Detailing Data from Manchanda et al
(2004)
eMixMargDen Compute Marginal Densities of A Normal Mixture
Averaged over MCMC Draws
fsh Flush Console Buffer
ghkvec Compute GHK approximation to Multivariate
Normal Integrals
llmnl Evaluate Log Likelihood for Multinomial Logit
Model
llmnp Evaluate Log Likelihood for Multinomial Probit
Model
llnhlogit Evaluate Log Likelihood for non-homothetic
Logit Model
lndIChisq Compute Log of Inverted Chi-Squared Density
lndIWishart Compute Log of Inverted Wishart Density
lndMvn Compute Log of Multivariate Normal Density
lndMvst Compute Log of Multivariate Student-t Density
logMargDenNR Compute Log Marginal Density Using
Newton-Raftery Approx
margarine Household Panel Data on Margarine Purchases
mixDen Compute Marginal Density for Multivariate
Normal Mixture
mixDenBi Compute Bivariate Marginal Density for a Normal
Mixture
mnlHess Computes -Expected Hessian for Multinomial
Logit
mnpProb Compute MNP Probabilities
momMix Compute Posterior Expectation of Normal Mixture
Model Moments
nmat Convert Covariance Matrix to a Correlation
Matrix
numEff Compute Numerical Standard Error and Relative
Numerical Efficiency
orangeJuice Store-level Panel Data on Orange Juice Sales
plot.bayesm.hcoef Plot Method for Hierarchical Model Coefs
plot.bayesm.mat Plot Method for Arrays of MCMC Draws
plot.bayesm.nmix Plot Method for MCMC Draws of Normal Mixtures
rDPGibbs Density Estimation with Dirichlet Process Prior
and Normal Base
rbayesBLP Bayesian Analysis of Random Coefficient Logit
Models Using Aggregate Data
rbiNormGibbs Illustrate Bivariate Normal Gibbs Sampler
rbprobitGibbs Gibbs Sampler (Albert and Chib) for Binary
Probit
rdirichlet Draw From Dirichlet Distribution
rhierBinLogit MCMC Algorithm for Hierarchical Binary Logit
rhierLinearMixture Gibbs Sampler for Hierarchical Linear Model
rhierLinearModel Gibbs Sampler for Hierarchical Linear Model
rhierMnlDP MCMC Algorithm for Hierarchical Multinomial
Logit with Dirichlet Process Prior
Heterogeneity
rhierMnlRwMixture MCMC Algorithm for Hierarchical Multinomial
Logit with Mixture of Normals Heterogeneity
rhierNegbinRw MCMC Algorithm for Negative Binomial Regression
rivDP Linear "IV" Model with DP Process Prior for
Errors
rivGibbs Gibbs Sampler for Linear "IV" Model
rmixGibbs Gibbs Sampler for Normal Mixtures w/o Error
Checking
rmixture Draw from Mixture of Normals
rmnlIndepMetrop MCMC Algorithm for Multinomial Logit Model
rmnpGibbs Gibbs Sampler for Multinomial Probit
rmultireg Draw from the Posterior of a Multivariate
Regression
rmvpGibbs Gibbs Sampler for Multivariate Probit
rmvst Draw from Multivariate Student-t
rnegbinRw MCMC Algorithm for Negative Binomial Regression
rnmixGibbs Gibbs Sampler for Normal Mixtures
rordprobitGibbs Gibbs Sampler for Ordered Probit
rscaleUsage MCMC Algorithm for Multivariate Ordinal Data
with Scale Usage Heterogeneity.
rsurGibbs Gibbs Sampler for Seemingly Unrelated
Regressions (SUR)
rtrun Draw from Truncated Univariate Normal
runireg IID Sampler for Univariate Regression
runiregGibbs Gibbs Sampler for Univariate Regression
rwishart Draw from Wishart and Inverted Wishart
Distribution
simnhlogit Simulate from Non-homothetic Logit Model
summary.bayesm.mat Summarize Mcmc Parameter Draws
summary.bayesm.nmix Summarize Draws of Normal Mixture Components
summary.bayesm.var Summarize Draws of Var-Cov Matrices
tuna Data on Canned Tuna Sales
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