Package: mifa
Title: Multiple Imputation for Exploratory Factor Analysis
Version: 0.2.1
Authors@R: c(
  person("Vahid", "Nassiri", role = "aut"),
  person("Anikó", "Lovik", role = "aut"),
  person("Geert ", "Molenberghs", role = "aut"),
  person("Geert ", "Verbeke", role = "aut"),
  person("Tobias", "Busch", email = "teebusch@gmail.com", 
         role = c("aut", "cre"),
         comment = c(ORCID = "https://orcid.org/0000-0002-8390-7892"))
  )
URL: https://github.com/teebusch/mifa
BugReports: https://github.com/teebusch/mifa/issues
Imports: stats, mice, dplyr, checkmate
Suggests: psych, testthat, knitr, rmarkdown, ggplot2, tidyr, covr
Description: 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>.
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.3.2
Roxygen: list(markdown = TRUE)
Config/pak/sysreqs: cmake make libicu-dev libx11-dev zlib1g-dev
Repository: https://teebusch.r-universe.dev
Date/Publication: 2025-05-10 20:03:35 UTC
RemoteUrl: https://github.com/teebusch/mifa
RemoteRef: HEAD
RemoteSha: 8c87981278a8d3b91b5b4e87159e9f1dbe9e9d9d
NeedsCompilation: no
Packaged: 2026-10-10 13:43:37 UTC; root
Author: Vahid Nassiri [aut],
  Anikó Lovik [aut],
  Geert Molenberghs [aut],
  Geert Verbeke [aut],
  Tobias Busch [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-8390-7892>)
Maintainer: Tobias Busch <teebusch@gmail.com>