em_miss_obj: The objective function for em with a missing block.

In dcgerard/vicar: Various Ideas for Confounder Adjustment in Regression

Description

The objective function for em with a missing block.

Usage

em_miss_obj(alpha_sigma, S, S2, ncovs, ncontrols, n, p, k)

Arguments

alpha_sigma	A vector. The first k * p elements are the vectorization of alpha. The last elements are sig_diag.
S	A matrix. This is the sample covariance matrix of the samples that don't have a missing block.
S2	A matrix. This is the sample covariance matrix of the samples that do have a missing block.
ncovs	The number of covariates.
ncontrols	The number of controls
n	The sample size
p	The number of genes.
k	The rank of the mean.

Author(s)

David Gerard

dcgerard/vicar documentation built on July 7, 2021, 1:08 p.m.