Package: cobin 1.0.1.4

Changwoo Lee
cobin: Cobin and Micobin Regression Models for Continuous Proportional Data
Provides functions for cobin and micobin regression models, a new family of generalized linear models for continuous proportional data (Y in the closed unit interval [0, 1]). It also includes an exact, efficient sampler for the Kolmogorov-Gamma random variable. For details, see Lee et al. (2026) <doi:10.1080/01621459.2026.2626081>.
Authors:
cobin_1.0.1.4.tar.gz
cobin_1.0.1.4.zip(r-4.7)cobin_1.0.1.4.zip(r-4.6)cobin_1.0.1.4.zip(r-4.5)
cobin_1.0.1.4.tgz(r-4.6-x86_64)cobin_1.0.1.4.tgz(r-4.6-arm64)cobin_1.0.1.4.tgz(r-4.5-x86_64)cobin_1.0.1.4.tgz(r-4.5-arm64)
cobin_1.0.1.4.tar.gz(r-4.7-arm64)cobin_1.0.1.4.tar.gz(r-4.7-x86_64)cobin_1.0.1.4.tar.gz(r-4.6-arm64)cobin_1.0.1.4.tar.gz(r-4.6-x86_64)
cobin_1.0.1.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
cobin/json (API)
| # Install 'cobin' in R: |
| install.packages('cobin', repos = c('https://changwoo-lee.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/changwoo-lee/cobin/issues
Last updated from:f49ca21151. Checks:13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 152 | ||
| linux-devel-x86_64 | OK | 157 | ||
| source / vignettes | OK | 200 | ||
| linux-release-arm64 | OK | 155 | ||
| linux-release-x86_64 | OK | 143 | ||
| macos-release-arm64 | OK | 238 | ||
| macos-release-x86_64 | OK | 267 | ||
| macos-oldrel-arm64 | OK | 251 | ||
| macos-oldrel-x86_64 | OK | 246 | ||
| windows-devel | OK | 138 | ||
| windows-release | OK | 146 | ||
| windows-oldrel | OK | 122 | ||
| wasm-release | OK | 107 |
Exports:bftbftprimebftprimeinvbftprimeprimebftprimeprimeprimecobinfamilycobinregcobitlinkcobitlinkinvdcobindIHdmicobinglm.cobinmicobinregpcobinpmicobinrcobinrkgcpprmicobinspcobinregspmicobinregVft
Dependencies:bootcodadotCall64fieldsFormulalatticelme4mapsMASSMatrixmatrixStatsminqanlmenloptrRANNrbibutilsRColorBrewerRcppRcppEigenRdpackreformulasrlangspamspNNGPviridisLite