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Package: bayesm
Version: 2.1-3
Date: 2007-03-28
Title: Bayesian Inference for Marketing/Micro-econometrics
（マーケティング，ミクロ経済学のためのベイズ推定）
| 項目 | 説明 |
| 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 | スライスチーズのデータ |
| clusterMix | Cluster Observations Based on Indicator MCMC Draws |
| condMom | Computes 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 |
| customerSat | 顧客満足度データ |
| 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 | 多項ロジットモデルの対数尤度の評価 |
| llmnp | 多項プロビットモデルの対数尤度の評価 |
| 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 |
| 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 |
| 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 |
| 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 | 単変量回帰の Gibbs サンプラ |
| 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 | ツナ缶の売り上げデータ |
