attach(asNamespace("epigrowthfit")) library(tools) options(warn = 2L, error = if (interactive()) recover) example("egf", package = "epigrowthfit"); o.1 <- m1; o.2 <- m2 ## egf_has_random ###################################################### e <- new.env() e[["data"]] <- list() o <- list(tmb_out = list(env = e)) class(o) <- "egf" e[["data"]][["Z"]] <- matrix(0, 3L, 3L) stopifnot( egf_has_random(o)) e[["data"]][["Z"]] <- matrix(0, 3L, 0L) stopifnot(!egf_has_random(o)) ## egf_has_converged ################################################### o <- list(optimizer_out = list(convergence = 0L), value = 100, gradient = runif(10L, -0.5, 0.5), hessian = TRUE) class(o) <- c("egf", "list") # "list" only for dispatch to within.list stopifnot(exprs = { egf_has_converged(o) !egf_has_converged(within(o, optimizer_out[["convergence"]] <- 1L)) !egf_has_converged(within(o, value <- NaN)) !egf_has_converged(within(o, gradient[1L] <- 10)) !egf_has_converged(within(o, hessian <- FALSE)) is.na(egf_has_converged(within(o, hessian <- NA))) }) ## egf_par_expand #################################################### ## egf_par_condense #################################################### t.2 <- o.2[["tmb_out"]] p.2 <- t.2[["env"]][["last.par.best"]] p.2e <- egf_par_expand(t.2, p.2) p.2ec <- egf_par_condense(t.2, p.2e) len <- c(table(factor(names(p.2), levels = c("beta", "theta", "b")))) stopifnot(exprs = { all.equal(p.2e, structure(c(p.2[1:4], theta = 0, p.2[-(1:4)]), len = len + c(0L, 1L, 0L), names = NULL)) all.equal(p.2ec, structure(p.2, len = len, names = NULL)) }) ## egf_report ######################################################## ## egf_adreport ######################################################## identical. <- function(x, y, ...) { x[["env"]] <- y[["env"]] <- NULL identical(x, y, ...) } r.1 <- o.1[["tmb_out"]][["env"]][[".__egf__."]][["report"]] r.1. <- egf_report(o.1) stopifnot(identical.(r.1., r.1)) o.1[["tmb_out"]][["env"]][[".__egf__."]][["report"]] <- NULL r.1. <- egf_report(o.1) stopifnot(identical.(r.1., r.1)) r.1 <- o.1[["tmb_out"]][["env"]][[".__egf__."]][["adreport"]] r.1. <- egf_adreport(o.1) stopifnot(identical.(r.1., r.1)) o.1[["tmb_out"]][["env"]][[".__egf__."]][["adreport"]] <- NULL assertCondition(r.1. <- egf_adreport(o.1), "message") stopifnot(identical.(r.1., r.1))