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R Under development (unstable) (2017-11-28 r73785) -- "Unsuffered Consequences"Copyright (C) 2017 The R Foundation for Statistical ComputingPlatform: 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)> vfiVariance function structure of class varIdent representing8 10 14 121.00 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")=<environment: R_GlobalEnv>- 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 REMLModel: distance ~ ageData: OrthodontLog-restricted-likelihood: -253.4207Coefficients:(Intercept) age16.746600 0.659796Variance function:Structure: Different standard deviations per stratumFormula: ~1 | ageParameter estimates:8 10 14 121.000000 0.872009 1.121849 1.120000Degrees of freedom: 108 total; 106 residualResidual standard error: 2.453257>> proc.time()user system elapsed0.246 0.040 0.272