Package: reglogit 1.2-8

Robert B. Gramacy

reglogit: Simulation-Based Regularized Logistic Regression

Regularized (polychotomous) logistic regression by Gibbs sampling. The package implements subtly different MCMC schemes with varying efficiency depending on the data type (binary v. binomial, say) and the desired estimator (regularized maximum likelihood, or Bayesian maximum a posteriori/posterior mean, etc.) through a unified interface. For details, see Gramacy & Polson (2012 <doi:10.1214/12-BA719>).

Authors:Robert B. Gramacy [cre, aut]

reglogit_1.2-8.tar.gz
reglogit_1.2-8.zip(r-4.7-x86_64)reglogit_1.2-8.zip(r-4.7-arm64)reglogit_1.2-8.zip(r-4.6-x86_64)reglogit_1.2-8.zip(r-4.6-arm64)
reglogit_1.2-8.tar.gz(r-4.7-arm64)reglogit_1.2-8.tar.gz(r-4.7-x86_64)reglogit_1.2-8.tar.gz(r-4.6-arm64)reglogit_1.2-8.tar.gz(r-4.6-x86_64)
reglogit_1.2-8.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
reglogit/json (API)

# Install 'reglogit' in R:
install.packages('reglogit', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • openmp– GCC OpenMP (GOMP) support library
Datasets:
  • pima - Pima Indian Data

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

openmp

1.00 score 5 scripts 305 downloads 19 exports 4 dependencies

Last updated from:48f485d021. Checks:10 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK86
linux-devel-x86_64OK194
source / vignettesOK164
linux-release-arm64OK119
linux-release-x86_64OK122
windows-devel-arm64OK271
windows-devel-x86_64OK107
windows-release-arm64OK199
windows-release-x86_64OK100
wasm-releaseOK99

Exports:beta.dRUMcalc.Cscalc.lpostcalc.mlpostdraw.betadraw.lambdadraw.nudraw.omegadraw.zgibbs.dRUMmpreprocessmy.rinvgausspredict.reglogitpredict.regmlogitpreprocessreglogitregmlogitrmultnormz.dRUM

Dependencies:bootlatticeMatrixmvtnorm