Package: bayesm

Version: 2.1-3

Date: 2007-03-28

Title: Bayesian Inference for Marketing/Micro-econometrics


ScotchSurvey Data on Brands of Scotch Consumed
bankBank Card Conjoint Data of Allenby and Ginter (1995)
bregPosterior Draws from a Univariate Regression with Unit Error Variance
cgetCObtain A List of Cut-offs for Scale Usage Problems
clusterMixCluster Observations Based on Indicator MCMC Draws
condMomComputes Conditional Mean/Var of One Element of MVN given All Others
createX多項ロジットおよびプロビットルーチンで使用する X マトリックスの計算
detailingPhysician Detailing Data from Manchanda et al (2004)
eMixMargDen?Compute Marginal Densities of A Normal Mixture Averaged over MCMC Draws
fshFlush Console Buffer
ghkvecCompute GHK approximation to Multivariate Normal Integrals
llnhlogitEvaluate Log Likelihood for non-homothetic Logit Model
lndIChisqCompute Log of Inverted Chi-Squared Density
lndIWishartCompute Log of Inverted Wishart Density
lndMvnCompute Log of Multivariate Normal Density
lndMvstCompute Log of Multivariate Student-t Density
logMargDenNRCompute Log Marginal Density Using Newton-Raftery Approx
margarineHousehold Panel Data on Margarine Purchases
mixDenCompute Marginal Density for Multivariate Normal Mixture
mixDenBi?Compute Bivariate Marginal Density for a Normal Mixture
mnlHessComputes -Expected Hessian for Multinomial Logit
mnpProbCompute MNP Probabilities
momMixCompute Posterior Expectation of Normal Mixture Model Moments
nmatConvert Covariance Matrix to a Correlation Matrix
numEffCompute Numerical Standard Error and Relative Numerical Efficiency
orangeJuiceStore-level Panel Data on Orange Juice Sales
plot.bayesm.hcoefPlot Method for Hierarchical Model Coefs
plot.bayesm.matPlot Method for Arrays of MCMC Draws
plot.bayesm.nmixPlot Method for MCMC Draws of Normal Mixtures
rbiNormGibbs?Illustrate Bivariate Normal Gibbs Sampler
rbprobitGibbsGibbs Sampler (Albert and Chib) for Binary Probit
rdirichletDraw From Dirichlet Distribution
rhierBinLogit?MCMC Algorithm for Hierarchical Binary Logit
rhierLinearMixture?Gibbs Sampler for Hierarchical Linear Model
rhierLinearModel?Gibbs Sampler for Hierarchical Linear Model
rhierMnlRwMixture?MCMC Algorithm for Hierarchical Multinomial Logit with Mixture of Normals Heterogeneity
rhierNegbinRw?負の二項回帰の MCMC アルゴリズム
rivGibbsGibbs Sampler for Linear "IV" Model
rmixGibbsGibbs Sampler for Normal Mixtures w/o Error Checking
rmixtureDraw from Mixture of Normals
rmnlIndepMetrop?MCMC Algorithm for Multinomial Logit Model
rmnpGibbsGibbs Sampler for Multinomial Probit
rmultiregDraw from the Posterior of a Multivariate Regression
rmvpGibbsGibbs Sampler for Multivariate Probit
rmvstDraw from Multivariate Student-t
rnegbinRwMCMC Algorithm for Negative Binomial Regression
rnmixGibbsGibbs Sampler for Normal Mixtures
rordprobitGibbsGibbs Sampler for Ordered Probit
rscaleUsageMCMC Algorithm for Multivariate Ordinal Data with Scale Usage Heterogeneity
rsurGibbsGibbs Sampler for Seemingly Unrelated Regressions (SUR)
rtrunDraw from Truncated Univariate Normal
runiregIID Sampler for Univariate Regression
runiregGibbs単変量回帰の Gibbs サンプラ
rwishartDraw from Wishart and Inverted Wishart Distribution
simnhlogitSimulate from Non-homothetic Logit Model
summary.bayesm.matSummarize Mcmc Parameter Draws
summary.bayesm.nmixSummarize Draws of Normal Mixture Components
summary.bayesm.varSummarize Draws of Var-Cov Matrices

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Last-modified: 2015-03-01 (日) 01:15:59 (1727d)