Dire
Linear Regressions with a Latent Outcome Variable
Fit latent variable linear models, estimating score distributions for groups of people, following Cohen and Jiang (1999) doi:10.2307/2669917. In this model, a latent distribution is conditional on students item response, item characteristics, and conditioning variables the user includes. This latent trait is then integrated out. This software is intended to fit the same models as the existing software 'AM' https://am.air.org/. As of version 2, also allows the user to draw plausible values.
- Version2.2.0
- R versionunknown
- LicenseGPL-2
- Needs compilation?Yes
- Last release10/26/2023
Documentation
Team
Paul Bailey
MaintainerShow author detailsSun-joo Lee
Show author detailsRolesAuthorEmmanuel Sikali
Show author detailsRolespdrBlue Webb
Show author detailsRolesContributorEric Buehler
Show author detailsRolesAuthorHarold Doran
Show author detailsRolesAuthorClaire Kelley
Show author detailsRolesContributor
Insights
Last 30 days
This package has been downloaded 494 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 24 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 6,085 times in the last 365 days. A solid achievement! Enough downloads to get noticed at department meetings. The day with the most downloads was Apr 10, 2024 with 65 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
- Imports7 packages
- Suggests6 packages
- Linking To2 packages
- Reverse Depends1 package