compute_univariate_sumstats: Compute summary statistics from univariate simple linear...

In stephenslab/mr.mash.alpha: Multiple Regression with Multivariate Adaptive Shrinkage

Compute summary statistics from univariate simple linear regression.

Description

Function to compute regression coefficients and their standard errors from univariate simple linear regression.

Usage

compute_univariate_sumstats(
  X,
  Y,
  standardize = FALSE,
  standardize.response = FALSE,
  mc.cores = 1
)

Arguments

X	n x p matrix of covariates.
Y	n x r matrix of responses.
standardize	If TRUE, X is "standardized" using the sample means and sample standard deviations.
standardize.response	If TRUE, Y is "standardized" using the sample means and sample standard deviations.
mc.cores	Number of cores to use. Parallelization is done over responses.

Value

A list with following elements:

Bhat	p x r matrix of the regression coeffcients.
Shat	p x r matrix of the standard errors for regression coeffcients.

stephenslab/mr.mash.alpha documentation built on Feb. 7, 2025, 10:06 p.m.