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 |