lsm: Estimation of the log Likelihood of the Saturated Model
When the values of the outcome variable Y are either 0 or 1, the function lsm() calculates the estimation of the log likelihood in the saturated model. This model is characterized by Llinas (2006, ISSN:2389-8976) in section 2.3 through the assumptions 1 and 2. The function LogLik() works (almost perfectly) when the number of independent variables K is high, but for small K it calculates wrong values in some cases. For this reason, when Y is dichotomous and the data are grouped in J populations, it is recommended to use the function lsm() because it works very well for all K.
| Version: | 0.2.1.5 |
| Depends: | R (≥ 3.5.0) |
| Imports: | stats, dplyr (≥ 1.0.0), ggplot2 (≥ 1.0.0) |
| Published: | 2025-06-02 |
| DOI: | 10.32614/CRAN.package.lsm |
| Author: | Jorge Villalba 
[aut, cre],
Humberto Llinas
[aut],
Omar Fabregas
[aut] |
| Maintainer: | Jorge Villalba <jvillalba at utb.edu.co> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| Citation: | lsm citation info |
| Materials: | README |
| CRAN checks: | lsm results |
Documentation:
| Reference manual: | lsm.html , lsm.pdf |
Downloads:
| Package source: | lsm_0.2.1.5.tar.gz |
| Windows binaries: | r-devel: lsm_0.2.1.5.zip, r-release: lsm_0.2.1.5.zip, r-oldrel: lsm_0.2.1.5.zip |
| macOS binaries: | r-release (arm64): lsm_0.2.1.5.tgz, r-oldrel (arm64): lsm_0.2.1.5.tgz, r-release (x86_64): lsm_0.2.1.5.tgz, r-oldrel (x86_64): lsm_0.2.1.5.tgz |
| Old sources: | lsm archive |
Linking:
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