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.
- Version0.2.0
- R versionunknown
- LicenseMIT
- LicenseLICENSE
- Needs compilation?No
- Last release01/22/2021
Documentation
Team
Tobias Busch
Vahid Nassiri
Show author detailsRolesAuthorGeert Molenberghs
Show author detailsRolesAuthorGeert Verbeke
Show author detailsRolesAuthorAnikó Lovik
Show author detailsRolesAuthor
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