mclogit: Multinomial Logit Models, with or without Random Effects or
Overdispersion
Provides estimators for multinomial logit models in their
conditional logit and baseline logit variants, with or without random effects,
with or without overdispersion.
Random effects models are estimated using the PQL technique (based on a Laplace approximation)
or the MQL technique (based on a Solomon-Cox approximation). Estimates should be treated
with caution if the group sizes are small.
Documentation:
Downloads:
Reverse dependencies:
| Reverse imports: |
abn, EQUALSTATS, projpred, vecmatch |
| Reverse suggests: |
ggeffects, insight, marginaleffects, parameters, performance, see, WeightIt |
| Reverse enhances: |
prediction, stargazer |
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