est2.my.ev3.diffregr: Compute weights of sum-of-weighted-chi2s

In FrankD/nethet: A bioconductor package for high-dimensional exploration of biological network heterogeneity

Description

Compute weights of sum-of-weighted-chi2s

Usage

est2.my.ev3.diffregr(y1, y2, x1, x2, beta1, beta2, beta, act1, act2, act)

Arguments

y1	Response vector sample 1.
y2	Response vector sample 2.
x1	Predictor matrix sample 1.
x2	Predictor matrix sample 2.
beta1	MLE (regression coefficients) sample 1.
beta2	MLE (regression coefficients) sample 2.
beta	Pooled MLE (regression coefficients).
act1	Active-set sample 1
act2	Active-set sample 2
act	Pooled active-set

Details

*'2nd order simplification': 1) Factor out (1-vi)^(d1+d2) "expansion in dimf>dimg direction (old terminology)" 2) Factor out (1-mu)^d0 *simplified computation of weights is obtained without further invoking H0, or assuming X_u~X_v

Value

Eigenvalues of M, respectively the weights.

Author(s)

n.stadler

FrankD/nethet documentation built on Oct. 5, 2020, 8:22 a.m.