API for stephenslab/mvebnm
Ultimate Deconvolution for Multivariate Normal Means

Global functions
assign_prior_covariance_updates Man page
compute_loglik_penalized Source code
compute_penalty Source code
compute_posterior_probs Man page
compute_posterior_probs_iid_rcpp Source code
compute_posterior_probs_notiid_rcpp Source code
cv_single_model Source code
ed_iid_rcpp Source code
ed_reg_iid Source code
fa_scaled_iid Source code
fa_scaled_notiid Source code
fa_unconstrained Source code
get_S Source code
get_Ulist Man page Source code
get_best_fit Source code
get_best_fit_cv Source code
get_sigma2_iw Source code
get_sigma2_nu Source code
grad_loglik_per_eigenval_nu Source code
grad_loglik_per_eigenval_scaled_iw Source code
logLik.ud_fit Man page
loglik_neg_per_eigenval_nu Source code
loglik_neg_per_eigenval_scaled_iw Source code
loglik_ud_iid_rcpp Source code
loglik_ud_notiid_rcpp Source code
print.summary.ud_fit Man page
simulate_ebmn_data Source code
simulate_ud_data Man page
summary.ud_fit Man page
ted_penalized_iw Source code
ted_penalized_nu Source code
ted_rcpp Source code
ud_fit Man page
ud_fit_control_default Man page Source code
ud_fit_cv Source code
ud_init Man page
udr Man page
udr-package Man page
update_mixture_weights Man page
update_prior_covariance_rank1_none_notiid Source code
update_prior_covariance_rank1_none_notiid_rcpp Source code
update_prior_covariance_scaled_none_notiid Source code
update_prior_covariance_scaled_none_notiid_rcpp Source code
update_prior_covariance_ted_invalid Source code
update_prior_covariance_unconstrained_none_notiid Source code
update_prior_covariance_unconstrained_none_notiid_rcpp Source code
update_prior_covariances Man page
update_resid_covariance Man page
update_resid_covariance_rcpp Source code
weighted_loglik_negative Source code
stephenslab/mvebnm documentation built on June 4, 2024, 6:37 a.m.