model_log_likelihood: model_log_likelihood

In geneprophet/BSDMR: a region-based method for quantitating the conservation and divergence of methylation patterns between species by high order features

Description

model_log_likelihood

Usage

bpr_log_likelihood(w, X, H, lambda, is_nll)

bpr_gradient(w, X, H, lambda, is_nll)

betareg_log_likelihood(w, X, H, lambda, is_nll)

betareg_gradient(w, X, H, lambda, is_nll)

sum_weighted_bpr_lik(w, X_list, H_list, r_nk, lambda, is_nll)

sum_weighted_bpr_grad(w, X_list, H_list, r_nk, lambda, is_nll)

sum_weighted_betareg_lik(w, X_list, H_list, r_nk, lambda, is_nll)

sum_weighted_betareg_grad(w, X_list, H_list, r_nk, lambda, is_nll)

Arguments

w	a vector
X	a matrix
H	a matrix
lambda	a number
is_nll	boolean
X_list	a list
H_list	a list
r_nk	a vector

geneprophet/BSDMR documentation built on March 3, 2021, 5:50 a.m.