MTAR (version 0.1.1)

Get_UV_from_beta: Compute the summary statistics given the genetic effect estimates and their standard errors

Description

This function allows you to calculate the score summary statistics \(U\) and their covariance matrix \(V\) for MTAR, given the genetic effect estimates and their standard errors

Usage

Get_UV_from_beta(Beta, Beta.se, R)

Arguments

Beta

a numeric list, each sublist containing estimation information of genetic effect estimates \(\beta\) for each study. In each study, a numeric \(m \times K\) matrix with each row as a SNP and each column as a separate trait. The number of traits and the number of SNPs in each study can be different but their names are required.

Beta.se

a numeric list, each sublist containing the standard error of estimators information for each study. In each study, a numeric \(m \times K\) matrix with each row as a SNP and each column as a separate trait.

R

a SNP correlation matrix, which should contain the correlation of all the SNPs in these studies.

Value

A list containing summary statistics for each traits, including the score summary statistics \(U\) and their covariance matrix \(V\).

Examples

# NOT RUN {
data("beta.example")
attach(beta.example)
obs.stat <- Get_UV_from_beta(Beta = Beta, Beta.se = Beta.se, R = R)
detach(beta.example)
# }