Nothing
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.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Martin Elff |
| Maintainer | Martin Elff <mclogit@elff.eu> |
| License | GPL-2 |
| Version | 0.9.6 |
| URL | http://mclogit.elff.eu https://github.com/melff/mclogit/ |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the mclogit package in your browser
Any scripts or data that you put into this service are public.
