skewlmm
Scale Mixture of Skew-Normal Linear Mixed Models
It fits scale mixture of skew-normal linear mixed models using either an expectation–maximization (EM) type algorithm or its accelerated version (Damped Anderson Acceleration with Epsilon Monotonicity, DAAREM), including some possibilities for modeling the within-subject dependence. Details can be found in Schumacher, Lachos and Matos (2021) doi:10.1002/sim.8870.
- Version1.1.2
- R versionR (≥ 4.3)
- LicenseMIT
- LicenseLICENSE
- Needs compilation?No
- Reference manual
- Last release12/15/2024
Documentation
Team
Fernanda L. Schumacher
MaintainerShow author detailsKatherine A. L. Valeriano
Victor H. Lachos
Show author detailsRolesAuthorNicholas Henderson
Show author detailsRolesContributorLarissa A. Matos
Ravi Varadhan
Show author detailsRolesContributor
Insights
Last 30 days
This package has been downloaded 200 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 9 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 3,098 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Dec 17, 2024 with 44 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
- Depends1 package
- Imports15 packages