mclogit: Multinomial Logit Models, with or without Random Effects or Overdispersion
Technical documentation
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mclogit: Multinomial Logit Models, with or without Random Effects or Overdispersion
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Technical documentation
Technical documentation
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The relation between baseline logit and conditional logit models
The IWLS algorithm used to fit conditional logit models
Approximate Inference for Multinomial Logit Models with Random Effects
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The relation between baseline logit and conditional logit models
Table of Contents
Publications
Data Sets
Software
Packages
memisc: Management of Survey Data and Presentation of Analysis Results
mclogit: Multinomial Logit Models, with or without Random Effects or Overdispersion
mclogit on CRAN
Baseline-category logit models
Conditional logit models
Random effects in baseline logit models and conditional logit models
Documentation of the Package
Manual pages
Index
Technical documentation
The relation between baseline logit and conditional logit models
The IWLS algorithm used to fit conditional logit models
Approximate Inference for Multinomial Logit Models with Random Effects
References
munfold: Metric Multidimensional Unfolding in R
mpred: Generic Predictive Margins
manifestos: Spatial Modelling of Party Manifestos (and other political texts)
iimm: Improved Inference for Multilevel Models with Few Clusters
EMfit: An Infrastructure for Latent Variable Model Fitting using EM Algorithms
RKernel: Yet another R kernel for Jupyter
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