R: Bayesian Modeling via Frequentist Goodness-of-Fit

# Bayesian Modeling via Frequentist Goodness-of-Fit

## Documentation for package ‘BayesGOF’ version 5.2

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

BayesGOF-package | Bayesian Modeling via Frequentist Goodness-of-Fit
arsenic | Arsenic levels in oyster tissue
AutoIns | Number of claims on an insurance policy
BayesGOF | Bayesian Modeling via Frequentist Goodness-of-Fit
ChildIll | Frequency of child illness
CorbBfly | Corbet's Butterfly data
DS.entropy | Full and Excess Entropy of DS(G,m) prior
DS.Finite.Bayes | Conduct Finite Bayes Inference on a DS object
DS.GF.macro.obj | Execute MacroInference (mean or mode) on a DS object
DS.GF.micro.obj | MicroInference for DS Prior Objects
DS.GF.obj | Prior Diagnostics and Estimation
DS.macro.inf | Execute MacroInference (mean or mode) on a DS object
DS.macro.inf.bbu | Execute MacroInference (mean or mode) on a DS object
DS.macro.inf.nnu | Execute MacroInference (mean or mode) on a DS object
DS.macro.inf.pge | Execute MacroInference (mean or mode) on a DS object
DS.macro.inf.pgu | Execute MacroInference (mean or mode) on a DS object
DS.micro.inf | MicroInference for DS Prior Objects
DS.micro.inf.bbu | MicroInference for DS Prior Objects
DS.micro.inf.nnu | MicroInference for DS Prior Objects
DS.micro.inf.pge | MicroInference for DS Prior Objects
DS.micro.inf.pgu | MicroInference for DS Prior Objects
DS.posterior.reduce | Posterior Expectation and Modes of DS object
DS.prior | Prior Diagnostics and Estimation
DS.prior.bbu | Prior Diagnostics and Estimation
DS.prior.nnu | Prior Diagnostics and Estimation
DS.prior.pgu | Prior Diagnostics and Estimation
DS.sampler | Samples data from DS(G,m) distribution.
DS.sampler.post | Samples data from DS(G,m) distribution.
EXP.score | Prior Diagnostics and Estimation
galaxy | Galaxy Data
gLP.basis | Determine LP basis functions for prior distribution g
gMLE.bb | Beta-Binomial Parameter Estimation
gMLE.nn | Normal-Normal Parameter Estimation
gMLE.pg | Negative-Binomial Parameter Estimation
Local.Mode | Execute MacroInference (mean or mode) on a DS object
LP.smooth | Prior Diagnostics and Estimation
maxent.LP.par | Prior Diagnostics and Estimation
maxent.obj.convert | Prior Diagnostics and Estimation
mom.est | Beta-Binomial Parameter Estimation
NorbergIns | Norberg life insurance data
plot.DS_FB_obj | Conduct Finite Bayes Inference on a DS object
plot.DS_GF | Prior Diagnostics and Estimation
plot.DS_GF_macro_mean | Execute MacroInference (mean or mode) on a DS object
plot.DS_GF_macro_mode | Execute MacroInference (mean or mode) on a DS object
plot.DS_GF_micro | MicroInference for DS Prior Objects
print.DS_FB_obj | Conduct Finite Bayes Inference on a DS object
print.DS_GF | Prior Diagnostics and Estimation
print.DS_GF_macro_mean | Execute MacroInference (mean or mode) on a DS object
print.DS_GF_macro_mode | Execute MacroInference (mean or mode) on a DS object
print.DS_GF_micro | MicroInference for DS Prior Objects
rat | Rat Tumor Data
Reduce.LP.coef.univ | Prior Diagnostics and Estimation
rPPD.ds | Samples data from DS(G,m) distribution.
ship | Portsmouth Navy Shipyard Data
steroid | Nasal Steroid Data
surg | Intestinal surgery data
tacks | Rolling Tacks Data
terb | Terbinafine trial data
ulcer | Recurrent Bleeding of Ulcers
weight.fun.univ | Prior Diagnostics and Estimation