stopifnot(require("testthat"), require("glmmTMB")) ## Some selected L1-distances between two fits distFits <- function(fit1, fit2) { s1 <- summary(fit1) s2 <- summary(fit2) glmmTMB:::namedList( max(abs((coef(s1)$cond - coef(s2)$cond)[,"Estimate"])), max(abs((coef(s1)$cond - coef(s2)$cond)[,"Std. Error"])), abs(logLik(fit1) - logLik(fit2)) ) } test_that("profile method", { skip_on_cran() myfit <- function(...) { glmmTMB(count ~ mined * spp + (1|site), family = poisson, data = Salamanders, control = glmmTMBControl(...)) } m1 <- myfit( profile=FALSE ) m2 <- myfit( profile=TRUE ) expect_true( all( distFits(m1, m2) < c(1e-4, 1e-2, 1e-4) ) ) ## ########################################################### myfit <- function(...) { glmmTMB(count ~ mined * spp + (1|site), zi = ~ (1 | spp), family = poisson, data = Salamanders, control = glmmTMBControl(...)) } m1 <- myfit( profile=FALSE ) m2 <- myfit( profile=TRUE ) expect_true( all( distFits(m1, m2) < c(1e-4, 1e-2, 1e-4) ) ) }) test_that("parallel regions", { skip_on_cran() myfit <- function(...) { glmmTMB(count ~ mined * spp + (1|site), family = poisson, data = Salamanders, verbose = FALSE, control = glmmTMBControl(...)) } # Record time and model capture_time_model <- function(...) { start_time <- Sys.time() model <- myfit(...) end_time <- Sys.time() return(list(model = model, elapsed_time = end_time - start_time )) } m1 <- capture_time_model( parallel = 1 ) ## DON'T grab all cores - bad on large machines ## FIXME: check if parallel setting is persistent ??? m2 <- capture_time_model( parallel = min(4, parallel::detectCores() )) expect_true( all( distFits(m1[[1]], m2[[1]]) < c(1e-4, 1e-2, 1e-4) ) ) # expect_true( m1[[2]] <= m2[[2]]) }) test_that("autopar-only parallel", { m1 <- glmmTMB(count ~ mined + (1|site), family = poisson, data = Salamanders) m2 <- update(m1, control = glmmTMBControl(parallel = list(autopar = TRUE))) expect_equal(fixef(m1), fixef(m2)) })