glsm: Saturated Model Log-Likelihood for Multinomial Outcomes
When the response variable Y takes one of R > 1 values, the function 'glsm()' computes the maximum likelihood estimates (MLEs) of the parameters under four models: null, complete, saturated, and logistic. It also calculates the log-likelihood values for each model. This method assumes independent, non-identically distributed variables. For grouped data with a multinomial outcome, where observations are divided into J populations, the function 'glsm()' provides estimation for any number K of explanatory variables.
| Version: | 0.0.0.6 |
| Depends: | R (≥ 3.5.0) |
| Imports: | stats,dplyr (≥ 1.0.0),ggplot2 (≥ 1.0.0),VGAM (≥ 1.0.0),plyr |
| Published: | 2025-07-14 |
| DOI: | 10.32614/CRAN.package.glsm |
| Author: | Jorge Villalba [aut, cre], Humberto Llinas [aut], Jorge Borja [aut], Jorge Tilano [aut] |
| Maintainer: | Jorge Villalba <jvillalba at utb.edu.co> |
| License: | MIT + fileLICENSE |
| NeedsCompilation: | no |
| Citation: | glsm citation info |
| Materials: | README |
| CRAN checks: | glsm results |
Documentation:
| Reference manual: | glsm.html ,glsm.pdf |
Downloads:
| Package source: | glsm_0.0.0.6.tar.gz |
| Windows binaries: | r-devel:glsm_0.0.0.6.zip, r-release:glsm_0.0.0.6.zip, r-oldrel:glsm_0.0.0.6.zip |
| macOS binaries: | r-release (arm64):glsm_0.0.0.6.tgz, r-oldrel (arm64):glsm_0.0.0.6.tgz, r-release (x86_64):glsm_0.0.0.6.tgz, r-oldrel (x86_64):glsm_0.0.0.6.tgz |
Linking:
Please use the canonical formhttps://CRAN.R-project.org/package=glsmto link to this page.