fad
Factor Analysis for Data
Compute maximum likelihood estimators of parameters in a Gaussian factor model using the the matrix-free methodology described in Dai et al. (2020) doi:10.1080/10618600.2019.1704296. In contrast to the factanal() function from 'stats' package, fad() can handle high-dimensional datasets where number of variables exceed the sample size and is also substantially faster than the EM algorithms.
- Version0.9-1
- R version≥ 3.0.2 methods,
- LicenseGPL-3
- Needs compilation?Yes
- Last release05/01/2022
Documentation
Team
Somak Dutta
Ranjan Maitra
Show author detailsRolesContributorFan Dai
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 226 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 5 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 2,996 times in the last 365 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The day with the most downloads was Sep 11, 2024 with 33 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
- Imports2 packages
- Suggests1 package
- Linking To3 packages