Package: lcpm 0.1.1

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:Gurbakhshash Singh and Gordon Hilton Fick

lcpm_0.1.1.tar.gz
lcpm_0.1.1.tar.gz(r-4.7-any)lcpm_0.1.1.tar.gz(r-4.6-any)
lcpm_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html
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'))

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 2 scripts 209 downloads 3 exports 5 dependencies

Last updated from:fb6a4629f4. Checks:2 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE99
source / vignettesOK151
linux-release-x86_64NOTE118
wasm-releaseOK99

Exports:lcpmlcpmMinusloglikppm

Dependencies:latticeMatrixnumDerivplyrRcpp