Rchoice
Discrete Choice (Binary, Poisson and Ordered) Models with Random Parameters
An implementation of simulated maximum likelihood method for the estimation of Binary (Probit and Logit), Ordered (Probit and Logit) and Poisson models with random parameters for cross-sectional and longitudinal data as presented in Sarrias (2016) doi:10.18637/jss.v074.i10.
- Version0.3-6
- R version≥ 4.0
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- Rchoice citation info
- Last release03/10/2023
Documentation
Team
Mauricio Sarrias
Achim Zeileis
Show author detailsRolesContributorYves Croissant
Show author detailsRolesContributor
Insights
Last 30 days
This package has been downloaded 1,215 times in the last 30 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 28 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 15,250 times in the last 365 days. The downloads are officially high enough to crash an underfunded departmental server. Quite an accomplishment! The day with the most downloads was Jan 22, 2025 with 136 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Depends2 packages
- Imports7 packages
- Suggests4 packages