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:
RCBR_0.6.2.tar.gz
RCBR_0.6.2.zip(r-4.5)RCBR_0.6.2.zip(r-4.4)RCBR_0.6.2.zip(r-4.3)
RCBR_0.6.2.tgz(r-4.4-any)RCBR_0.6.2.tgz(r-4.3-any)
RCBR_0.6.2.tar.gz(r-4.5-noble)RCBR_0.6.2.tar.gz(r-4.4-noble)
RCBR_0.6.2.tgz(r-4.4-emscripten)RCBR_0.6.2.tgz(r-4.3-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')) |
- Horowitz93 - Horowitz (1993) Modal Choice Data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 11 months agofrom:5708e5c62a. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Aug 20 2024 |
R-4.5-win | OK | Aug 20 2024 |
R-4.5-linux | OK | Aug 20 2024 |
R-4.4-win | OK | Aug 20 2024 |
R-4.4-mac | OK | Aug 20 2024 |
R-4.3-win | OK | Aug 20 2024 |
R-4.3-mac | OK | Aug 20 2024 |
Exports:bounds.KW2GHGH.seGK.controlKW.controlKWDualneighboursNICERNICERdpolycountpolyzoneprcbrrcbrrcbr.fitrcbr.fit.GKrcbr.fit.KW1rcbr.fit.KW2witness
Dependencies:FormulalatticeMatrixmvtnormorthopolynompolynomREBayesRmosek