Package: lcpm 0.1.2
Gurbakhshash Singh
lcpm: Ordinal Outcomes: Generalized Linear Models with the Log Link
An implementation of the Log Cumulative Probability Model (LCPM) and Proportional Probability Model (PPM) for which the Maximum Likelihood Estimates are determined using constrained optimization. This implementation accounts for the implicit constraints on the parameter space. Other features such as standard errors, z tests and p-values use standard methods adapted from the results based on constrained optimization.
Authors:
lcpm_0.1.2.tar.gz
lcpm_0.1.2.zip(r-4.7-any)lcpm_0.1.2.zip(r-4.6-any)
lcpm_0.1.2.tar.gz(r-4.7-any)lcpm_0.1.2.tar.gz(r-4.6-any)
lcpm_0.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
lcpm/json (API)
| # Install 'lcpm' in R: |
| install.packages('lcpm', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:bc3bf54a99. Checks:6 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 125 | ||
| source / vignettes | OK | 179 | ||
| linux-release | OK | 121 | ||
| windows-devel | OK | 72 | ||
| windows-release | OK | 89 | ||
| wasm-release | OK | 117 |
Exports:lcpmlcpmMinusloglikppm
