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lcpm  

Ordinal Outcomes: Generalized Linear Models with the Log Link
View on CRAN: Click here


Download and install lcpm package within the R console
Install from CRAN:
install.packages("lcpm")

Install from Github:
library("remotes")
install_github("cran/lcpm")

Install by package version:
library("remotes")
install_version("lcpm", "0.1.2")



Attach the package and use:
library("lcpm")
Maintained by
Gurbakhshash Singh
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-01-18
Latest Update: 2020-01-09
Description:
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.
How to cite:
Gurbakhshash Singh (2019). lcpm: Ordinal Outcomes: Generalized Linear Models with the Log Link. R package version 0.1.2, https://cran.r-project.org/web/packages/lcpm. Accessed 26 Oct. 2026.
Previous versions and publish date:
(2026-09-14 06:50), 0.1.0 (2019-01-18 00:01), 0.1.1 (2020-01-09 08:10)
Other packages that cited lcpm R package
View lcpm citation profile
Other R packages that lcpm depends, imports, suggests or enhances
Complete documentation for lcpm
Functions, R codes and Examples using the lcpm R package
Some associated functions: lcpm . lcpmMinusloglik . ppm . 
Some associated R codes: lcpm.R . lcpmMinusloglik.R . ppm.R . print.lcpm.R . print.ppm.R . print.summary.lcpm.R . print.summary.ppm.R . summary.lcpm.R . summary.ppm.R .  Full lcpm package functions and examples
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