R Under development (unstable) (2024-08-21 r87038 ucrt) -- "Unsuffered Consequences" Copyright (C) 2024 The R Foundation for Statistical Computing Platform: x86_64-w64-mingw32/x64 R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R. > library(coxme) Loading required package: survival Loading required package: bdsmatrix Attaching package: 'bdsmatrix' The following object is masked from 'package:base': backsolve > aeq <- function(x,y) all.equal(as.vector(x), as.vector(y)) > # > # Variable shrinkage > # > ecog0 <- 1*(lung$ph.ecog==0) > ecog1 <- 1*(lung$ph.ecog==1) > ecog2 <- 1*(lung$ph.ecog==2) > ecog3 <- 1*(lung$ph.ecog==3) > > fit1 <- coxph(Surv(time, status) ~ age + ridge(ecog0, ecog1, ecog2, ecog3, + scale=FALSE, theta=2), lung) > > fit2 <- coxme(Surv(time, status) ~ age + (ecog0+ecog1+ecog2+ecog3 |1), lung, + vfixed=.5) > > aeq(fit1$coef, c(fixef(fit2), unlist(ranef(fit2)))) [1] TRUE > indx <- c(5,1,2,3,4) #in coxme, shrinkage variables are first > all.equal(fit1$var, as.matrix(fit2$var)[indx, indx]) [1] TRUE > > fit3 <- coxme(Surv(time, status) ~ age + (1|ph.ecog), lung, vfixed=.5) > all.equal(fit2$var, fit3$var) [1] TRUE > all.equal(fit2$loglik, fit3$loglik) [1] TRUE > > fit4 <- coxme(Surv(time, status) ~ age + (1|ph.ecog), lung) > dname <- paste("ecog", 0:3, sep='') > dummy <- matrix(diag(4), 4, dimnames=list(dname,dname)) > fit5 <- coxme(Surv(time, status) ~ age + (ecog0+ecog1+ecog2+ecog3 |1), lung, + varlist=dummy) > all.equal(fit4$log, fit5$log) [1] TRUE > aeq(fixef(fit4), fixef(fit5)) [1] TRUE > all.equal(ranef(fit4), ranef(fit5), check.attributes=FALSE) #names will differ [1] TRUE > > > > proc.time() user system elapsed 1.75 0.23 1.96