grmsem.fcoher: grmsem factorial co-heritability and co-environmentality...

In grmsem: Genetic-Relationship-Matrix Structural Equation Modelling (GRMSEM)

Description

This function estimates factorial co-heritabilities and factorial co-environmentalities.

Usage

grmsem.fcoher(grmsem.out = NULL)

Arguments

grmsem.out

grmsem.fit or grmsem.stpar object. Default NULL.

Details

The grmsem.fcoher function can be used to estimate factorial co-heritabilities and factorial co-environmentalities for models estimating latent variables (Cholesky, IP or IPC models), based on grmsem.fit or grmsem.stpar objects. The factorial co-heritability of a genetic factor m for trait t is the ratio of the genetic variance explained by factor m (A_mt) to the total genetic variance (A_t): A_mt / A_t. The factorial co-environmentality of a residual factor n for trait t is the ratio of the residual variance explained by factor n (E_nt) to the total residual variance (E_t): E_nt / E_t. All standard errors are derived with the Delta method.

Value

grmsem.fcoher returns an extended model.out dataframe, fcoher.model.out, with the following columns:

label	parameter label
estimates	estimated parameters
gradient	gradient
se	SE
Z	Z (Wald) of factor loading
p	p (Wald) of factor loading
Vi	squared factor loading, explained phenotypic variation by the factor
Vi.se	SE of squared factor loading
FCOHER	factorial co-heritability
FCOHER.se	SE of factorial co-heritability
FCOHER.Z	Z (wald) of factorial co-heritability
FCOHER.se	p (Wald) of factorial co-heritability
FCOENV	factorial co-environmentality
FCOENV.se	SE of factorial co-environmentality
FCOENV.Z	Z (wald) of factorial co-environmentality
FCOENV.se	p (Wald) of factorial co-environmentality

Examples

#(runtime should be less than one minute)

out <- grmsem.fit(ph.small, G.small, LogL = TRUE, estSE = TRUE)
grmsem.fcoher(out)

grmsem documentation built on Jan. 29, 2021, 5:07 p.m.