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mclogit  

Multinomial Logit Models, with or without Random Effects or Overdispersion
View on CRAN: Click here


Download and install mclogit package within the R console
Install from CRAN:
install.packages("mclogit")

Install from Github:
library("remotes")
install_github("cran/mclogit")

Install by package version:
library("remotes")
install_version("mclogit", "0.9.6")



Attach the package and use:
library("mclogit")
Maintained by
Martin Elff
[Scholar Profile | Author Map]
First Published: 2010-04-08
Latest Update: 2022-10-27
Description:
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.
How to cite:
Martin Elff (2010). mclogit: Multinomial Logit Models, with or without Random Effects or Overdispersion. R package version 0.9.6, https://cran.r-project.org/web/packages/mclogit. Accessed 29 Mar. 2025.
Previous versions and publish date:
0.2-1 (2010-04-08 17:52), 0.2-2 (2010-04-09 19:30), 0.2-3 (2011-12-09 10:21), 0.2-6 (2013-01-05 17:14), 0.2-7 (2013-09-20 14:58), 0.3-1 (2014-10-14 05:27), 0.4.4 (2016-12-25 23:44), 0.5.1 (2017-07-17 11:47), 0.6.1 (2018-09-27 09:40), 0.6 (2018-05-10 14:16), 0.8.5.1 (2020-07-01 18:40), 0.8.6.4 (2020-11-04 13:30), 0.8.7.3 (2021-03-29 14:30), 0.9.4.2 (2022-04-19 18:22), 0.9.4 (2022-04-11 11:42)
Other packages that cited mclogit R package
View mclogit citation profile
Other R packages that mclogit depends, imports, suggests or enhances
Complete documentation for mclogit
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