Package: mclogit 0.9.8

Martin Elff

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.

Authors:Martin Elff

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NEWS

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Bug tracker:https://github.com/melff/mclogit/issues

On CRAN:

13 exports 22 stars 3.30 score 8 dependencies 3 dependents 5 mentions 239 scripts 3.6k downloads

Last updated 2 months agofrom:5c848e46cb. Checks:OK: 1 WARNING: 6. Indexed: yes.

Exports:dispersiongetSummary.mblogitgetSummary.mclogitgetSummary.mmblogitgetSummary.mmclogitmblogitmclogitmclogit.controlmclogit.fitmmclogit.controlmmclogit.fitPQLMQLranefrebase

Dependencies:data.tablejsonlitelatticeMASSMatrixmemiscnlmeyaml