bayesmパッケージ(マーケティング/マイクロ計量経済学のベイズ推定)中のオブジェクト一覧
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開始行:
*COLOR(red){bayesm}パッケージ(マーケティング/マイクロ計量経済学のベイズ推定)中のオブジェクト一覧 [#l7759dd5]
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|
終了行:
*COLOR(red){bayesm}パッケージ(マーケティング/マイクロ計量経済学のベイズ推定)中のオブジェクト一覧 [#l7759dd5]
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|
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