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Estimating the Number of Factors in EFA with Out-of-Sample Prediction Errors
Estimating the number of factors in Exploratory Factor Analysis (EFA) with out-of-sample prediction errors using a cross-validation scheme. Haslbeck & van Bork (Preprint) https://psyarxiv.com/qktsd.
- Version0.1.2
- R versionunknown
- LicenseGPL-2
- Needs compilation?No
- Last release03/28/2023
Documentation
Team
Jonas Haslbeck
Riet van Bork
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Last 30 days
This package has been downloaded 176 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 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 2,582 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 Aug 07, 2024 with 25 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
- Imports2 packages
- Reverse Imports1 package