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bfa (version 0.4)

Bayesian Factor Analysis

Description

Provides model fitting for several Bayesian factor models including Gaussian, ordinal probit, mixed and semiparametric Gaussian copula factor models under a range of priors.

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Version

Install

install.packages('bfa')

Monthly Downloads

16

Version

0.4

License

GPL-3

Maintainer

Jared S Murray

Last Published

September 29th, 2016

Functions in bfa (0.4)

bfa-package

Bayesian Factor Analysis
cor_samp

Compute samples of the correlation matrix
coef.bfa

Extract samples of implied regression coefficients from a bfa object
get_coda

Get coda object
bfa_gauss

Initialize and fit a Gaussian factor model
bfa_model

Initialize a bfa model
cov_samp

Compute samples of the covariance matrix
bfa_mixed

Initialize and fit a mixed-scale Gaussian factor model, with probit specifications for the discrete margins
bfa_copula

Initialize and fit a Gaussian copula factor model
biplot.bfa

Display a biplot
predict.bfa

Posterior predictive and univariate conditional posterior predictive distributions
get_posterior_scores

Get posterior samples of factor scores
print.bfa

Print method for bfa object
get_posterior_loadings

Get posterior samples of factor loadings
HPDinterval.bfa

HPD intervals from a bfa object
mean.bfa

Extract posterior means from bfa object
ratings08

Special Interest Group Ratings (2008)
var.bfa

Extract posterior variances from bfa object
woodbury

Invert the matrix lam*t(lam)+diag(u) via Woodbury identity
utri_restrict

Upper triangular loadings restriction