get_cond_A: Compute conditional Z matrix

In hJAM: Hierarchical Joint Analysis of Marginal Summary Statistics

Description

The get_cond_A function is to get the conditional A matrix by using marginal A matrix

Usage

get_cond_A(marginal_A, Gl, N.Gx, ridgeTerm = FALSE)

Arguments

marginal_A	the marginal effects of SNPs on the exposures (Gx).
Gl	the reference panel (Gl), such as 1000 Genome
N.Gx	the sample size of each Gx. It can be a scalar or a vector. If there are multiple X's from different Gx, it should be a vector including the sample size of each Gx. If all alphas are from the same Gx, it could be a scalar.
ridgeTerm	ridgeTerm = TRUE when the matrix L is singular. Matrix L is obtained from the cholesky decomposition of G0'G0. Default as FALSE.

Value

A matrix with conditional estimates which are converted from marginal estimates using the JAM model.

Author(s)

Lai Jiang

Examples

data(Gl)
data(betas.Gy)
data(marginal_A)
get_cond_A(marginal_A = marginal_A, Gl = Gl, N.Gx = c(339224, 659316), ridgeTerm = TRUE)

hJAM documentation built on March 26, 2020, 8:13 p.m.