sum_weighted_bpr_lik: Sum of weighted BPR log likelihoods
In andreaskapou/mpgex: Methylation Profiles predict Gene Expression

Description Usage Arguments Value See Also

sum_weighted_bpr_lik computes the sum of the BPR log likelihoods for each elements of x, and then weights them by the corresponding posterior probabilities. This function is mainly used for the M-Step of the EM algorithm bpr_EM.

1	sum_weighted_bpr_lik(w, x, des_mat, post_prob, is_NLL = TRUE)

`w`	A vector of parameters (i.e. coefficients of the basis functions)
`x`	A list of elements of length N, where each element is an L x 3 matrix of observations, where 1st column contains the locations. The 2nd and 3rd columns contain the total trials and number of successes at the corresponding locations, repsectively.
`des_mat`	A list of length N, where each element contains the `L x M` design matrices, where L is the number of observations and M the number of basis functions.
`post_prob`	A vector of length N containing the posterior probabilities fore each element of list x, respectively.
`is_NLL`	Logical, indicating if the Negative Log Likelihood should be returned.