BayesH: Bayesian Regression Model with Mixture of Two Scaled Inverse Chi Square as Hyperprior
Version 1.0

Functions to performs Bayesian regression model with mixture of two scaled inverse chi square as hyperprior distribution for variance of each regression coefficient.

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AuthorRenato Rodrigues Silva
Date of publication2016-04-04 23:58:49
MaintainerRenato Rodrigues Silva <renato.rrsilva@ufg.br>
LicenseGPL-3
Version1.0
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("BayesH")

Man pages

bayesModel.fit: Bayesian regression model with mixture of two scaled inverse...
example: example dataset
get.scale.bayesH: Get the vector of the scale hyperparameter
plot.BayesH: Plots observed versus predicted values
predict.BayesH: Make Predictions
summary.BayesH: Summary
X: Incidence Matrix
y: Vector of observations for the example dataset

Functions

X Man page
bayesModel.fit Man page Source code
example Man page
get.scale.bayesH Man page Source code
plot.BayesH Man page Source code
predict.BayesH Man page Source code
summary.BayesH Man page Source code
y Man page

Files

COPYING
src
src/Makevars
src/util.c
src/bayesRidge.c
src/util.h
src/bayesH.c
NAMESPACE
data
data/example.RData
data/datalist
R
R/BayesHMethods.R
R/BayesH.R
R/get.scale.R
MD5
DESCRIPTION
man
man/predict.BayesH.Rd
man/y.Rd
man/bayesModel.fit.Rd
man/get.scale.bayesH.Rd
man/plot.BayesH.Rd
man/summary.BayesH.Rd
man/example.Rd
man/X.Rd
BayesH documentation built on May 19, 2017, 6:35 a.m.