| 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 |
| corr_samp | Compute samples of the correlation matrix |
| cov_samp | Compute samples of the covariance matrix |
| get_coda | Get coda object |
| 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 means from bfa object |
| woodbury | Invert the matrix lam*t(lam)+diag(u) via Woodbury identity |