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factor.switching
View on CRAN: Click
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Download and install factor.switching package within the R console
Install from CRAN:
install.packages("factor.switching")
Install from Github:
library("remotes")
install_github("cran/factor.switching") Install by package version:
library("remotes")
install_version("factor.switching", "1.4") Attach the package and use:
library("factor.switching")
Maintained by
Panagiotis Papastamoulis
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[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-03-11
Latest Update: 2024-02-12
Description:
A well known identifiability issue in factor analytic models is the invariance with respect to orthogonal transformations. This problem burdens the inference under a Bayesian setup, where Markov chain Monte Carlo (MCMC) methods are used to generate samples from the posterior distribution. The package applies a series of rotation, sign and permutation transformations (Papastamoulis and Ntzoufras (2022) ) into raw MCMC samples of factor loadings, which are provided by the user. The post-processed output is identifiable and can be used for MCMC inference on any parametric function of factor loadings. Comparison of multiple MCMC chains is also possible.
How to cite:
Panagiotis Papastamoulis (2020). factor.switching: Post-Processing MCMC Outputs of Bayesian Factor Analytic Models. R package version 1.4, https://cran.r-project.org/web/packages/factor.switching. Accessed 25 Aug. 2026.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for factor.switching
Functions, R codes and Examples using
the factor.switching R package
Some associated functions: compareMultipleChains . credible.region . factor.switching-package . plot.rsp . procrustes_switching . rsp_exact . rsp_full_sa . rsp_partial_sa . small_posterior_2chains . switch_and_permute . weighted_procrustes_switching .
Some associated R codes: factorRotations.R . Full factor.switching package functions and examples
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