update_emat_with_F_doubletree: Update the variational probabilities of each observation in...

In zhenkewu/doubletree: Nested Latent Class Models for Domain-Adaptive and Semisupervised Learning of Cause-of-Deaths using Verbal Autopsy

Update the variational probabilities of each observation in one of pL1 leaves in tree1

Description

NB: does this work for the case where missing tree1 label can be in multiple domains, and missing/non-missing can happen at the same time for any domain?

Usage

update_emat_with_F_doubletree(curr_F, rmat, digamma_emat, v2_lookup)

Arguments

curr_F	F from F_doubletree()
rmat	matrix (N by K); row sums are one - the class probabilities for each observation.
digamma_emat	matrix(pL1 by pL2)
v2_lookup	v2_lookup is a vector of length equal to the total number of rows in X; each element is an integer, indicating which leaf does the observation belong to in tree2

Details

This function updates the N by pL1 matrix emat in the package

Value

N by pL1 variational multinomial probabilities for the posterior distribution of N people's membership in the pL1 leaves in tree1; row sums are 1s. F is to prepare for rmat updates. For subjects with observed leaf label in tree1, the corresponding rows of res should be further modified.

zhenkewu/doubletree documentation built on Oct. 21, 2023, 7:04 a.m.