simnhlogit
(Package: bayesm) :
Simulate from Non-homothetic Logit Model
simnhlogit simulates from the non-homothetic logit model
● Data Source:
CranContrib
● Keywords: models
● Alias: simnhlogit
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rmnlIndepMetrop
(Package: bayesm) :
MCMC Algorithm for Multinomial Logit Model
rmnIndepMetrop implements Independence Metropolis for the MNL.
● Data Source:
CranContrib
● Keywords: models
● Alias: rmnlIndepMetrop
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summary.bayesm.mat is an S3 method to summarize marginal distributions given an array of draws
● Data Source:
CranContrib
● Keywords: univar
● Alias: summary.bayesm.mat
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ghkvec
(Package: bayesm) :
Compute GHK approximation to Multivariate Normal Integrals
ghkvec computes the GHK approximation to the integral of a multivariate normal density over a half plane defined by a set of truncation points.
● Data Source:
CranContrib
● Keywords: distribution
● Alias: ghkvec
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clusterMix
(Package: bayesm) :
Cluster Observations Based on Indicator MCMC Draws
clusterMix uses MCMC draws of indicator variables from a normal component mixture model to cluster observations based on a similarity matrix.
● Data Source:
CranContrib
● Keywords: models, multivariate
● Alias: clusterMix
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mixDenBi
(Package: bayesm) :
Compute Bivariate Marginal Density for a Normal Mixture
mixDenBi computes the implied bivariate marginal density from a mixture of normals with specified mixture probabilities and component parameters.
● Data Source:
CranContrib
● Keywords: models, multivariate
● Alias: mixDenBi
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rbayesBLP
(Package: bayesm) :
Bayesian Analysis of Random Coefficient Logit Models Using Aggregate Data
rbayesBLP implements a hybrid MCMC algorithm for aggregate level sales data in a market with differentiated products. Version 3.0-1 contains an error for use of instruments with this function. This will be fixed in version 3.0-2.
● Data Source:
CranContrib
● Keywords:
● Alias: rbayesBLP
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rnegbinRw
(Package: bayesm) :
MCMC Algorithm for Negative Binomial Regression
rnegbinRw implements a Random Walk Metropolis Algorithm for the Negative Binomial (NBD) regression model. beta | alpha and alpha | beta are drawn with two different random walks.
● Data Source:
CranContrib
● Keywords: models
● Alias: rnegbinRw
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rhierNegbinRw
(Package: bayesm) :
MCMC Algorithm for Negative Binomial Regression
rhierNegbinRw implements an MCMC strategy for the hierarchical Negative Binomial (NBD) regression model. Metropolis steps for each unit level set of regression parameters are automatically tuned by optimization. Over-dispersion parameter (alpha) is common across units.
● Data Source:
CranContrib
● Keywords: models
● Alias: rhierNegbinRw
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rhierLinearModel
(Package: bayesm) :
Gibbs Sampler for Hierarchical Linear Model
rhierLinearModel implements a Gibbs Sampler for hierarchical linear models with a normal prior.
● Data Source:
CranContrib
● Keywords: regression
● Alias: rhierLinearModel
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