Package: factor.switching
Type: Package
Title: Post-Processing MCMC Outputs of Bayesian Factor Analytic Models
Version: 1.4
Date: 2024-02-12
Authors@R: 
    c(person(given = "Panagiotis",
             family = "Papastamoulis",
             email = "papapast@yahoo.gr",
             role = c( "aut", "cre"),
             comment = c(ORCID = "0000-0001-9468-7613")))
Maintainer: Panagiotis Papastamoulis <papapast@yahoo.gr>
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)
        <DOI:10.1007/s11222-022-10084-4>) 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.
Imports: coda, HDInterval, lpSolve , MCMCpack
License: GPL-2
NeedsCompilation: no
Packaged: 2026-07-03 12:18:51 UTC; root
Author: Panagiotis Papastamoulis [aut, cre]
        (<https://orcid.org/0000-0001-9468-7613>)
Repository: https://mqbssppe.r-universe.dev
Date/Publication: 2024-02-13 02:30:43 UTC
RemoteUrl: https://github.com/cran/factor.switching
RemoteRef: HEAD
RemoteSha: aba479e72b41629bc949f9648dba6b5bbe8539c8