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mifa  

Multiple Imputation for Exploratory Factor Analysis
View on CRAN: Click here


Download and install mifa package within the R console
Install from CRAN:
install.packages("mifa")

Install from Github:
library("remotes")
install_github("cran/mifa")

Install by package version:
library("remotes")
install_version("mifa", "0.2.0")



Attach the package and use:
library("mifa")
Maintained by
Tobias Busch
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-01-22
Latest Update: 2021-01-22
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) .
How to cite:
Tobias Busch (2021). mifa: Multiple Imputation for Exploratory Factor Analysis. R package version 0.2.0, https://cran.r-project.org/web/packages/mifa. Accessed 22 Dec. 2024.
Previous versions and publish date:
No previous versions
Other packages that cited mifa R package
View mifa citation profile
Other R packages that mifa depends, imports, suggests or enhances
Complete documentation for mifa
Functions, R codes and Examples using the mifa R package
Some associated functions: clean_n_pc . combine_rubin . get_fieller_ci . mice_impute_all_NA . mice_impute_once . mifa . mifa_ci_boot . mifa_ci_fieller . stop_constants . 
Some associated R codes: mice-helpers.R . mifa-ci.R . mifa-helpers.R . mifa.R .  Full mifa package functions and examples
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