Function reference • LRMoE

All functions
`ExpertFunction`	Expert Function Classes
`ExpertMatrix`	Expert Library Classes
`FitLRMoE()`	Main fitting function of LRMoE
`LRMoE-package`	LRMoE: Logit-Weighted Reduced Mixture-of-Experts
`X` `Y` `X.obs` `Y.obs`	Demo data for `LRMoE`.
`cmm_init()`	Initialize an LRMoE model based on Clustered Method of Moments
`dgammacount()`	Modified `GammaCount` pmf for better numerical accuracy.
`log1mexp()`	Compute f(a) = log(1 +/- exp(-a)) Numerically Optimally
`mgammacount()`	Calculates moments of `GammaCount` using finite approximation.
`pgammacount()`	Modified `GammaCount` cdf for better numerical accuracy.
`predict_VaRCTE_posterior()`	predict_VaRCTE_posterior
`predict_VaRCTE_prior()`	predict_VaRCTE_prior
`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_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

Reference