API for rchan26/BayesLogitFusion
Monte Carlo Fusion for Bayesian Logistic Regression

Global functions
BayesLogitFusion Man page
BayesLogitFusion-package Man page
Q_importance_sample Source code
bound_phi_BLR Source code
column_mean Source code
compare_samples_bivariate Source code
compare_samples_univariate Source code
consensus_scott Source code
diffusion_probability_BLR Source code
div_log_BLR_gradient Source code
fusion_RIS_TA_BLR Source code
fusion_TA_BLR Source code
fusion_diff_BLR Source code
get_resampled_top_level_RIS Man page Source code
get_resampled_top_level_SMC Man page Source code
hierarchical_fusion_BLR Man page Source code
hierarchical_fusion_RIS_TA_BLR Man page Source code
hierarchical_fusion_SMC_TA_BLR Man page Source code
hierarchical_fusion_TA_BLR Man page Source code
integrated_abs_distance Source code
log_BLR_gradient Source code
log_rho_standard Source code
log_rho_time_adapting Source code
mvrnormArma Man page Source code
mvrnormArma_tempered Man page Source code
neiswanger Source code
par_fusion_BLR Man page Source code
par_fusion_RIS_TA_BLR Man page Source code
par_fusion_SMC_TA_BLR Man page Source code
par_fusion_TA_BLR Man page Source code
phi_BLR Source code
phi_LB_BLR Source code
plot_fusion_matrix Source code
plot_fusion_results Source code
repmat Source code
rho_importance_sample Source code
row_wise_subtraction Source code
vec_norm_squared Source code
weierstrass Source code
weighted_column_mean Source code
weighted_mean Source code
rchan26/BayesLogitFusion documentation built on June 13, 2020, 5:03 a.m.