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 275 downloads 18 exports 8 dependencies

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

TargetResultTimeFilesSyslog
linux-develOK108
source / vignettesOK186
linux-releaseOK105
macos-releaseOK164
macos-oldrelOK262
windows-develOK78
windows-releaseOK84
windows-oldrelOK75
wasm-releaseOK81

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

Dependencies:FormulalatticeMatrixmvtnormorthopolynompolynomREBayesRmosek