Package: mifa 0.2.0
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>.
Authors:
mifa_0.2.0.tar.gz
mifa_0.2.0.zip(r-4.5)mifa_0.2.0.zip(r-4.4)mifa_0.2.0.zip(r-4.3)
mifa_0.2.0.tgz(r-4.5-any)mifa_0.2.0.tgz(r-4.4-any)mifa_0.2.0.tgz(r-4.3-any)
mifa_0.2.0.tar.gz(r-4.5-noble)mifa_0.2.0.tar.gz(r-4.4-noble)
mifa_0.2.0.tgz(r-4.4-emscripten)mifa_0.2.0.tgz(r-4.3-emscripten)
mifa.pdf |mifa.html✨
mifa/json (API)
NEWS
| # Install 'mifa' in R: |
| install.packages('mifa', repos = c('https://teebusch.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/teebusch/mifa/issues
Last updated 4 years agofrom:b789c31398. Checks:6 OK, 3 NOTE. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Mar 08 2025 |
| R-4.5-win | NOTE | Mar 08 2025 |
| R-4.5-mac | NOTE | Mar 08 2025 |
| R-4.5-linux | NOTE | Mar 08 2025 |
| R-4.4-win | OK | Mar 08 2025 |
| R-4.4-mac | OK | Mar 08 2025 |
| R-4.4-linux | OK | Mar 08 2025 |
| R-4.3-win | OK | Mar 08 2025 |
| R-4.3-mac | OK | Mar 08 2025 |
Exports:mifamifa_ci_bootmifa_ci_fieller
Dependencies:backportsbitbit64bootbroomcheckmateclicliprcodetoolscpp11crayondplyrfansiforcatsforeachgenericsglmnetgluehavenhmsiteratorsjomolatticelifecyclelme4magrittrMASSMatrixmiceminqamitmlnlmenloptrnnetnumDerivordinalpanpillarpkgconfigprettyunitsprogresspurrrR6rbibutilsRcppRcppEigenRdpackreadrreformulasrlangrpartshapestringistringrsurvivaltibbletidyrtidyselecttzdbucminfutf8vctrsvroomwithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Get covariance matrix of incomplete data using multiple imputation | mifa |
| Bootstrap confidence intervals for explained variance | mifa_ci_boot |
| Fieller confidence intervals for explained variance | mifa_ci_fieller |
