Man pages for sparktseung/LRMoE
Logit-Weighted Reduced Mixture-of-Experts
| cmm_init | Initialize an LRMoE model based on Clustered Method of... |
| dgammacount | Modified 'GammaCount' pmf for better numerical accuracy. |
| EMMalpha | ECM: M-Step for logit regression coefficients 'alpha'. |
| ExpertFunction | Expert Function Classes |
| ExpertMatrix | Expert Library Classes |
| FitLRMoE | Main fitting function of LRMoE |
| GateLogit | Computes the logit regression weights in log. |
| log1mexp | Compute f(a) = log(1 +/- exp(-a)) Numerically Optimally |
| LogLikelihoodExact | Calculate the log likelihood |
| LogLikelihoodNotExact | Calculate the log likelihood |
| LRMoEDemoData | Demo data for 'LRMoE'. |
| LRMoE-package | LRMoE: Logit-Weighted Reduced Mixture-of-Experts |
| mgammacount | Calculates moments of 'GammaCount' using finite... |
| pgammacount | Modified 'GammaCount' cdf for better numerical accuracy. |
| predict_class_posterior | predict_class_posterior |
| predict_class_prior | predict_class_prior |
| predict_excess_posterior | predict_excess_posterior |
| predict_excess_prior | predict_excess_prior |
| predict_limit_posterior | predict_limit_posterior |
| predict_limit_prior | predict_limit_prior |
| predict_mean_posterior | predict_mean_posterior |
| predict_mean_prior | predict_mean_prior |
| predict_VaRCTE_posterior | predict_VaRCTE_posterior |
| predict_VaRCTE_prior | predict_VaRCTE_prior |
| predict_var_posterior | predict_var_posterior |
| predict_var_prior | predict_var_prior |
| print_expert_matrix | Print expert matrix. |
| sim_dataset | Generate the simulations of the expert_matrix |
| sim_exposurize_model | Simulations of Exposurized Models |
| sim_logit_gating | Simulation based on Logit Gating Function |
