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-any)RCBR_0.6.2.zip(r-4.6-any)RCBR_0.6.2.zip(r-4.5-any)
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✨
DESCRIPTION
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 316 downloads 18 exports 8 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-x86_64OK128
source / vignettesOK136
linux-release-x86_64OK125
macos-release-arm64OK129
macos-oldrel-arm64OK79
windows-develOK78
windows-releaseOK83
windows-oldrelOK82
wasm-releaseOK104

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

Dependencies:FormulalatticeMatrixmvtnormorthopolynompolynomREBayesRmosek