Calculating effectsize or standarized coefficents for gls models in R
I am new in R and I would appreciate if you guide me how I can estimate effect size or standardized coefficients for a gls model (generalized least square) in R. if I can find the way for estimating standardized coefficients is better, because I used effect size package for other models (glm) in my study and got a standardized coefficients as effect size. Unfortunately this package could not give a standardized coefficients or another effect size estimator for gls model. As far as I have searched I could not find a formula in R for calculating effect size or standardized coefficients for my gls model.
My model :
Model1<-gls(Ehyp1~Sex1+SESc1+Ebmi1+Age1+PA1,weights=varIdent(form =~1|PA1), data =X6_17_years_Wave1, na.action = na.exclude)
PA1 is independent variable and categorical and has 3 levels.
Sex1+SESc1+Ebmi1+Age1: consider as covariates
Sex1 is nominal and has 2 groups (girl and boy).
It is the result of R for my gls model:
Generalized least squares fit by REML
Model: Ehyp1 ~ Sex1 + SESc1 + Ebmi1 + Age1 + PA1
AIC BIC logLik
27156.95 27224.53 -13568.48
Structure: Different standard deviations per stratum
Formula: ~1 | PA1
3 1 2
1.0000000 0.9268285 0.9310299