Package: BayesGOF 5.2
Doug Fletcher
BayesGOF: Bayesian Modeling via Frequentist Goodness-of-Fit
A Bayesian data modeling scheme that performs four interconnected tasks: (i) characterizes the uncertainty of the elicited parametric prior; (ii) provides exploratory diagnostic for checking prior-data conflict; (iii) computes the final statistical prior density estimate; and (iv) executes macro- and micro-inference. Primary reference is Mukhopadhyay, S. and Fletcher, D. 2018 paper "Generalized Empirical Bayes via Frequentist Goodness of Fit" (<https://www.nature.com/articles/s41598-018-28130-5 >).
Authors:
BayesGOF_5.2.tar.gz
BayesGOF_5.2.tar.gz(r-4.5-noble)BayesGOF_5.2.tar.gz(r-4.4-noble)
BayesGOF_5.2.tgz(r-4.4-emscripten)BayesGOF_5.2.tgz(r-4.3-emscripten)
BayesGOF.pdf |BayesGOF.html✨
BayesGOF/json (API)
# Install 'BayesGOF' in R: |
install.packages('BayesGOF', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- AutoIns - Number of claims on an insurance policy
- ChildIll - Frequency of child illness
- CorbBfly - Corbet's Butterfly data
- NorbergIns - Norberg life insurance data
- arsenic - Arsenic levels in oyster tissue
- galaxy - Galaxy Data
- rat - Rat Tumor Data
- 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
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 6 years agofrom:add399975c. Checks:OK: 1 NOTE: 1. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 31 2024 |
R-4.5-linux | NOTE | Oct 31 2024 |
Exports:DS.entropyDS.Finite.BayesDS.macro.infDS.macro.inf.bbuDS.macro.inf.nnuDS.macro.inf.pgeDS.macro.inf.pguDS.micro.infDS.micro.inf.bbuDS.micro.inf.nnuDS.micro.inf.pgeDS.micro.inf.pguDS.posterior.reduceDS.priorDS.prior.bbuDS.prior.nnuDS.prior.pguDS.samplerDS.sampler.postEXP.scoregLP.basisgMLE.bbgMLE.nngMLE.pgLocal.ModeLP.smoothmaxent.LP.parmaxent.obj.convertplot.DS_FB_objplot.DS_GFplot.DS_GF_macro_meanplot.DS_GF_macro_modeplot.DS_GF_microprint.DS_FB_objprint.DS_GFprint.DS_GF_macro_meanprint.DS_GF_macro_modeprint.DS_GF_microReduce.LP.coef.univrPPD.dsweight.fun.univ
Dependencies:Bolstad2nleqslvorthopolynompolynomVGAM