est_paras: A function implementing LD score regression.

In YangLabHKUST/MRAPSS: What the Package Does (One Line, Title Case)

Description

A function implementing LD score regression.

Usage

est_paras(
  dat1,
  dat2,
  trait1.name = "exposure",
  trait2.name = "outcome",
  h2.fix.intercept = F,
  ldscore.dir = NULLL
)

Arguments

dat1:	formmated summary statistics for trait 1.
dat2:	formmated summary statistics for trait 2.
trait1.name:	specify the name of trait 1, default 'exposure'.
trait2.name:	specify the name of trait 2, default 'outcome'.
h2.fix.intercept:	whether to fix LD score regression intercept to 1, default 'FALSE'.
ldscore.dir:	specify the path to the LD score files.

Value

List with the following elements:

Mdat

Homonised data set

Sigma_err

the estimated residual covariance matrix of Z scores.

Omega

the estimated covariance matrix of background effects

YangLabHKUST/MRAPSS documentation built on Dec. 12, 2020, 11:36 p.m.