mifa
Multiple Imputation for Exploratory Factor Analysis
Impute the covariance matrix of incomplete data so that factor analysis can be performed. Imputations are made using multiple imputation by Multivariate Imputation with Chained Equations (MICE) and combined with Rubin's rules. Parametric Fieller confidence intervals and nonparametric bootstrap confidence intervals can be obtained for the variance explained by different numbers of principal components. The method is described in Nassiri et al. (2018) <doi:10.3758/s13428-017-1013-4>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.2.1 |
rolling linux/jammy R-4.5 | mifa_0.2.1.tar.gz |
182.7 KiB |
0.2.1 |
rolling linux/noble R-4.5 | mifa_0.2.1.tar.gz |
182.7 KiB |
0.2.1 |
rolling source/ R- | mifa_0.2.1.tar.gz |
136.8 KiB |
0.2.1 |
latest linux/jammy R-4.5 | mifa_0.2.1.tar.gz |
182.7 KiB |
0.2.1 |
latest linux/noble R-4.5 | mifa_0.2.1.tar.gz |
182.7 KiB |
0.2.1 |
latest source/ R- | mifa_0.2.1.tar.gz |
136.8 KiB |
0.2.1 |
2026-04-26 source/ R- | mifa_0.2.1.tar.gz |
136.8 KiB |
0.2.1 |
2026-04-23 source/ R- | mifa_0.2.1.tar.gz |
136.8 KiB |
0.2.1 |
2026-04-09 windows/windows R-4.5 | mifa_0.2.1.zip |
180.6 KiB |
0.2.0 |
2025-04-20 source/ R- | mifa_0.2.0.tar.gz |
159.8 KiB |