lsm

cranv0.2.1.5

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 per

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https://CRAN.R-project.org/package=lsm
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statsdplyrggplot2
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First published · 2025-06-02 17:50:05

Last updated · 2025-06-02T16:30:01+00:00