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-4.6)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-4.6-any)RCBR_0.6.2.tar.gz(r-4.5-any)
RCBR_0.6.2.tgz(r-4.5-emscripten)
RCBR.pdf |RCBR.html✨
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 197 downloads 18 exports 8 dependencies

Last updated from:5708e5c62a. Checks:8 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK115
source / vignettesOK139
linux-release-x86_64OK117
macos-devel-arm64OK102
macos-release-arm64OK103
windows-develOK78
windows-releaseOK89
wasm-releaseOK107

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

Dependencies:FormulalatticeMatrixmvtnormorthopolynompolynomREBayesRmosek