ess: Compute the effective sample size for a LMM.

In variani/biglmmz: Low Rank Linear Mixed Models (LMMs) Powered by 'bigstatsr'

Description

Compute the effective sample size for a LMM.

Usage

ess(G, cols = seq(ncol(G)), M = length(cols), h2, s2 = 1)

Arguments

G	A FBM matrix of genotypes. Missing values are not handled.
cols	A vector of columns of G to be used in the model. By default, all columns of G are used.
M	A scalar for normalization of the genetic relationship matrix: GRM = Z'Z / M, where Z is a matrix of standardized genotypes. By default, M = length(cols).
h2	The estimated heritability in the LMM.
s2	The estimated scaling constant for the variance components in the LMM.

Value

A data.frame of results.

Examples

G <- attach_example200()
G
G[1:5, 1:10]

ess(G, h2 = 0.5)

ess(G, h2 = 0.8)

variani/biglmmz documentation built on Dec. 15, 2020, 7:58 a.m.