Author: David Rossell, John D. Cook, Donatello Telesca, P. Roebuck
Collate: AllClasses.R AllGenerics.R msPriorSpec.R imombf.R mode2g.R
pmom.R zellnerbf.lm.R dimom.R imomunknown.R priorp2g.R
zellnerbf.R margpimom.R mombf.lm.R qimom.R emom.R
zellnerbf.unknownsig.R dmom.R mombf.R qmom.R g2mode.R
margpmom.R momknown.R zbfknown.R imombf.lm.R momunknown.R
zbfunknown.R pmomLM.R pmomPM.R emomLM.R postMode.R pplProbit.R

Depends: R (>= 2.14.0), methods, mvtnorm, ncvreg, actuar, mgcv
margpmom.R margpemom.R momknown.R zbfknown.R imombf.lm.R
pplProbit.R greedyGLM.R ppmodel.R zellnerLM.R rmom.R

pplProbit.R greedyGLM.R ppmodel.R zellnerLM.R rmom.R cox.R

Title: Moment and Inverse Moment Bayes Factors
Description: Model selection and parameter estimation based on non-local priors. Routines are provided to compute Bayes factors, marginal densities and to perform variable selection in regression setups. Routines to evaluate prior densities, distribution functions, quantiles and modes are included.
Collate: AllClasses.R AllGenerics.R derivatives_nlps.R msPriorSpec.R
imombf.R mode2g.R pimom.R imomknown.R modelSelection.R pmom.R
dimom.R imomunknown.R priorp2g.R margpimom.R mombf.lm.R qimom.R
emom.R dmom.R mombf.R qmom.R g2mode.R margpmom.R margpemom.R
momknown.R imombf.lm.R momunknown.R pmomLM.R pmomPM.R emomLM.R
postMode.R pplProbit.R greedyGLM.R ppmodel.R zellnerLM.R rmom.R

dimom.R imomunknown.R priorp2g.R margpimom.R margskewnorm.R
mombf.lm.R qimom.R emom.R dmom.R mombf.R qmom.R g2mode.R
margpmom.R margpemom.R momknown.R imombf.lm.R momunknown.R
pmomLM.R pmomPM.R emomLM.R postMode.R pplProbit.R greedyGLM.R

Collate: AllClasses.R AllGenerics.R bms_ortho.R derivatives_nlps.R
msPriorSpec.R imombf.R mode2g.R pimom.R imomknown.R
modelSelection.R pmom.R dimom.R imomunknown.R priorp2g.R
margpimom.R margskewnorm.R mombf.lm.R qimom.R emom.R dmom.R
mombf.R qmom.R g2mode.R margpmom.R margpemom.R momknown.R
imombf.lm.R momunknown.R pmomLM.R pmomPM.R emomLM.R postMode.R

Description: Model selection and parameter estimation based on non-local and Zellner priors. Bayes factors, marginal densities and variable selection in regression setups. Routines to sample, evaluate prior densities, distribution functions and quantiles are included.
Collate: AllClasses.R AllGenerics.R alapl.R bms_ortho.R
dmom.R mombf.R pmomLM.R pmomPM.R emomLM.R postMode.R