Package: RCBR 0.6.2

RCBR: Random Coefficient Binary Response Estimation

Nonparametric maximum likelihood estimation methods for random coefficient binary response models and some related functionality for sequential processing of hyperplane arrangements. See J. Gu and R. Koenker (2020) <doi:10.1080/01621459.2020.1802284>.

Authors:Roger Koenker [aut, cre], Jiaying Gu [aut]

RCBR_0.6.2.tar.gz
RCBR_0.6.2.zip(r-4.7)RCBR_0.6.2.zip(r-4.6)RCBR_0.6.2.zip(r-4.5)
RCBR_0.6.2.tgz(r-4.6-any)RCBR_0.6.2.tgz(r-4.5-any)
RCBR_0.6.2.tar.gz(r-4.7-any)RCBR_0.6.2.tar.gz(r-4.6-any)
RCBR_0.6.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
RCBR/json (API)

# Install 'RCBR' in R:
install.packages('RCBR', repos = c('https://rudjer.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:

On CRAN:

Conda:

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

1.00 score 189 downloads 18 exports 8 dependencies

Last updated from:5708e5c62a. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK119
source / vignettesOK196
linux-release-x86_64OK116
macos-release-arm64OK103
macos-oldrel-arm64OK100
windows-develOK87
windows-releaseOK125
windows-oldrelOK83
wasm-releaseOK103

Exports:bounds.KW2GHGH.seGK.controlKW.controlKWDualneighboursNICERNICERdpolycountpolyzoneprcbrrcbrrcbr.fitrcbr.fit.GKrcbr.fit.KW1rcbr.fit.KW2witness

Dependencies:FormulalatticeMatrixmvtnormorthopolynompolynomREBayesRmosek