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>.

Getting started

Package details

AuthorVahid Nassiri [aut], Anikó Lovik [aut], Geert Molenberghs [aut], Geert Verbeke [aut], Tobias Busch [aut, cre] (<https://orcid.org/0000-0002-8390-7892>)
MaintainerTobias Busch <teebusch@gmail.com>
LicenseMIT + file LICENSE
URL https://github.com/teebusch/mifa
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the mifa package in your browser

Any scripts or data that you put into this service are public.

mifa documentation built on Jan. 22, 2021, 5:10 p.m.