boxcoxmix
Box-Cox-Type Transformations for Linear and Logistic Models with Random Effects
Box-Cox-type transformations for linear and logistic models with random effects using non-parametric profile maximum likelihood estimation, as introduced in Almohaimeed (2018) http://etheses.dur.ac.uk/12831/ and Almohaimeed and Einbeck (2022) doi:10.1177/1471082X20966919. The main functions are 'optim.boxcox()' for linear models with random effects and 'boxcoxtype()' for logistic models with random effects.
- Version0.46
- R version≥ 4.1.0
- LicenseGPL (≥ 3)
- Needs compilation?No
- boxcoxmix citation info
- Last release08/21/2024
Documentation
Team
Iago Giné-Vázquez
MaintainerShow author detailsJochen Einbeck
Show author detailsRolesAuthorAmani Almohaimeed
Insights
Last 30 days
This package has been downloaded 340 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 7 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 4,565 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Aug 22, 2024 with 71 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.
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Dependencies
- Imports3 packages
- Suggests3 packages