R Under development (unstable) (2017-11-28 r73785) -- "Unsuffered Consequences" Copyright (C) 2017 The R Foundation for Statistical Computing Platform: x86_64-apple-darwin17.2.0 (64-bit) 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. > ## tests of fix for PR#9831 > library(nlme) > val <- c("10"=1.10,"14"=1.14) > vf <- varIdent(value=val, form=~1|age, fixed=c("12"=1.12)) > vfi <- Initialize(vf,Orthodont) > vfi Variance function structure of class varIdent representing 8 10 14 12 1.00 1.10 1.14 1.12 > str(vfi) 'varIdent' Named num [1:2] 0.0953 0.131 - attr(*, "names")= chr [1:2] "10" "14" - attr(*, "groupNames")= chr [1:4] "8" "10" "14" "12" - attr(*, "fixed")= Named num 0.113 ..- attr(*, "names")= chr "12" - attr(*, "formula")=Class 'formula' language ~1 | age .. ..- attr(*, ".Environment")= - attr(*, "groups")= chr [1:108] "8" "10" "12" "14" ... - attr(*, "whichFix")= logi [1:3] FALSE FALSE TRUE - attr(*, "weights")= Named num [1:108] 1 0.909 0.893 0.877 1 ... ..- attr(*, "names")= chr [1:108] "8" "10" "12" "14" ... - attr(*, "logLik")= num -9.17 > stopifnot( + all.equal(coef(vfi), c(0.0953101798043, 0.131028262406)), + all.equal(coef(vfi, unconstrained = FALSE, allCoef = TRUE), + c("8" = 1, "10" = 1.1, "14" = 1.14, "12" = 1.12))) > > vfiCopy <- vfi # copy of an initialized object > length(vfiCopy) # length is 2 [1] 2 > coef(vfiCopy) <- c(11,12) # error in 3.1-84 > stopifnot(identical(coef(vfiCopy), c(11,12))) > > ## error in 3.1-84 > (gls. <- gls(distance ~ age, weights = vfi, data=Orthodont)) Generalized least squares fit by REML Model: distance ~ age Data: Orthodont Log-restricted-likelihood: -253.4207 Coefficients: (Intercept) age 16.746600 0.659796 Variance function: Structure: Different standard deviations per stratum Formula: ~1 | age Parameter estimates: 8 10 14 12 1.000000 0.872009 1.121849 1.120000 Degrees of freedom: 108 total; 106 residual Residual standard error: 2.453257 > > proc.time() user system elapsed 0.246 0.040 0.272