R: Bayesian Factor Analysis

# Bayesian Factor Analysis

## Documentation for package ‘bfa’ version 0.4

- DESCRIPTION file.
- Package NEWS.

## Help Pages

bfa-package | Bayesian Factor Analysis
bfa_copula | Initialize and fit a Gaussian copula factor model
bfa_gauss | Initialize and fit a Gaussian factor model
bfa_mixed | Initialize and fit a mixed-scale Gaussian factor model, with probit specifications for the discrete margins
bfa_model | Initialize a bfa model
biplot.bfa | Display a biplot
coef.bfa | Extract samples of implied regression coefficients from a bfa object
cor_samp | Compute samples of the correlation matrix
cov_samp | Compute samples of the covariance matrix
get_coda | Get coda object
get_posterior_loadings | Get posterior samples of factor loadings
get_posterior_scores | Get posterior samples of factor scores
HPDinterval.bfa | HPD intervals from a bfa object
mean.bfa | Extract posterior means from bfa object
predict.bfa | Posterior predictive and univariate conditional posterior predictive distributions
print.bfa | Print method for bfa object
ratings08 | Special Interest Group Ratings (2008)
utri_restrict | Upper triangular loadings restriction
var.bfa | Extract posterior variances from bfa object
woodbury | Invert the matrix lam*t(lam)+diag(u) via Woodbury identity