CRAN Package Check Results for Package gadget3

Last updated on 2025-08-14 04:48:26 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 0.13-0 9.19 332.39 341.58 OK
r-devel-linux-x86_64-debian-gcc 0.13-0 6.56 218.92 225.48 OK
r-devel-linux-x86_64-fedora-clang 0.13-0 566.82 OK
r-devel-linux-x86_64-fedora-gcc 0.13-0 555.14 OK
r-devel-windows-x86_64 0.13-0 12.00 318.00 330.00 OK
r-patched-linux-x86_64 0.13-0 12.68 320.39 333.07 ERROR
r-release-linux-x86_64 0.13-0 10.23 320.06 330.29 OK
r-release-macos-arm64 0.13-0 139.00 OK
r-release-macos-x86_64 0.13-0 310.00 OK
r-release-windows-x86_64 0.13-0 12.00 315.00 327.00 OK
r-oldrel-macos-arm64 0.13-0 144.00 OK
r-oldrel-macos-x86_64 0.13-0 300.00 OK
r-oldrel-windows-x86_64 0.13-0 16.00 429.00 445.00 OK

Check Details

Version: 0.13-0
Check: tests
Result: ERROR Running ‘test-aab_env.R’ [1s/1s] Running ‘test-action_age.R’ [3s/4s] Running ‘test-action_grow-methods.R’ [5s/6s] Running ‘test-action_grow.R’ [2s/3s] Running ‘test-action_mature.R’ [2s/3s] Running ‘test-action_migrate.R’ [2s/2s] Running ‘test-action_naturalmortality.R’ [1s/2s] Running ‘test-action_predate-catchability.R’ [6s/7s] Running ‘test-action_predate-numberfleet.R’ [2s/3s] Running ‘test-action_predate-predator.R’ [15s/19s] Running ‘test-action_predate-timebasedsuitability.R’ [3s/4s] Running ‘test-action_predate.R’ [7s/8s] Running ‘test-action_renewal-otherfood.R’ [8s/9s] Running ‘test-action_renewal.R’ [4s/5s] Running ‘test-action_report.R’ [1s/2s] Running ‘test-action_spawn-multipleoutputs.R’ [4s/5s] Running ‘test-action_spawn.R’ [5s/7s] Running ‘test-action_spmodel.R’ [2s/2s] Running ‘test-action_tagging.R’ [2s/3s] Running ‘test-action_time.R’ [1s/2s] Running ‘test-action_weightloss.R’ [2s/3s] Running ‘test-array_utils.R’ [2s/2s] Running ‘test-env_dif.R’ [1s/1s] Running ‘test-eval.R’ [1s/1s] Running ‘test-formula_utils.R’ [1s/1s] Running ‘test-init_val.R’ [1s/2s] Running ‘test-likelihood_bounds.R’ [3s/3s] Running ‘test-likelihood_data.R’ [4s/5s] Running ‘test-likelihood_distribution-surveyindices.R’ [2s/3s] Running ‘test-likelihood_distribution.R’ [14s/19s] Running ‘test-likelihood_random.R’ [1s/2s] Running ‘test-likelihood_sparsesample.R’ [4s/5s] Running ‘test-likelihood_tagging_ckmr.R’ [4s/4s] Running ‘test-likelihood_understocking.R’ [0s/0s] Running ‘test-param_project-ar1.R’ [4s/5s] Running ‘test-param_project-logar1.R’ [4s/4s] Running ‘test-param_project.R’ [2s/3s] Running ‘test-params.R’ [3s/3s] Running ‘test-quota-assess.R’ [6s/8s] Running ‘test-quota-hockeyfleet.R’ [4s/5s] Running ‘test-quota.R’ [2s/2s] Running ‘test-regression.R’ [1s/2s] Running ‘test-run.R’ [1s/1s] Running ‘test-run_r.R’ [2s/3s] Running ‘test-run_tmb-reporting_enabled.R’ [1s/1s] Running ‘test-run_tmb.R’ [4s/5s] Running ‘test-step.R’ [2s/3s] Running ‘test-stock.R’ [1s/1s] Running ‘test-stock_age.R’ [2s/3s] Running ‘test-stock_areas.R’ [2s/2s] Running ‘test-stock_product.R’ [0s/0s] Running ‘test-stock_tag.R’ [1s/2s] Running ‘test-stock_time-fishingyear.R’ [2s/2s] Running ‘test-stock_time.R’ [1s/1s] Running ‘test-suitability-report.R’ [7s/10s] Running ‘test-suitability.R’ [3s/3s] Running ‘test-timedata.R’ [1s/2s] Running ‘test-timevariable.R’ [1s/1s] Running the tests in ‘tests/test-param_project-logar1.R’ failed. Complete output: > if (!interactive()) options(warn=2, error = function() { sink(stderr()) ; traceback(3) ; q(status = 1) }) > library(unittest) > > library(gadget3) > > st_imm <- g3_stock(c("stst", maturity = "imm"), c(10, 20, 30)) |> g3s_age(0, 5) > st_mat <- g3_stock(c("stst", maturity = "mat"), c(10, 20, 30)) |> g3s_age(3, 15) > stocks_st <- list(st_imm, st_mat) > fl <- g3_fleet(c("fl", "surv")) > > actions <- list( + g3a_time(1990, 1994, c(6,6)), + g3a_initialconditions(st_imm, + quote( 100 + stock__minlen ), + quote( 1e4 + 0 * stock__minlen ) ), + g3a_initialconditions(st_mat, + quote( 100 + stock__minlen ), + quote( 1e4 + 0 * stock__minlen ) ), + g3a_age(st_imm), + g3a_age(st_mat), + + g3a_spawn( + st_mat, + g3a_spawn_recruitment_hockeystick( + r0 = g3_param_project( + "rec", + g3_param_project_logar1(), + random = FALSE, + scale = "rec.scalar", + by_stock = stocks_st, + by_step = FALSE )), + output_stocks = list(st_imm), + run_step = 1 ), + + # NB: Dummy parameter so model will compile in TMB + quote( nll <- nll + g3_param("x", value = 0) ) ) > full_actions <- c(actions, list( + g3a_report_detail(actions), + g3a_report_history(actions, 'proj_.*', out_prefix = NULL), + NULL)) > model_fn <- g3_to_r(full_actions) > model_cpp <- g3_to_tmb(full_actions) > > ok_group("No noise") ########################################################## # No noise > > attr(model_fn, 'parameter_template') |> + g3_init_val("stst.rec.#", rnorm(5, 1e5, 500)) |> + g3_init_val("stst.rec.proj.logar1.lstddev", -1e6) |> # i.e. no noise + g3_init_val("stst.rec.proj.logar1.logphi", 0.8) |> + g3_init_val("stst_mat.spawn.blim", 1e2) |> # blim too low to trigger + + g3_init_val("*.K", 0.3, lower = 0.04, upper = 1.2) |> + g3_init_val("*.Linf", max(g3_stock_def(st_imm, "midlen")), spread = 0.2) |> + g3_init_val("*.t0", g3_stock_def(st_imm, "minage") - 0.8, spread = 2) |> + g3_init_val("*.walpha", 0.01, optimise = FALSE) |> + g3_init_val("*.wbeta", 3, optimise = FALSE) |> + + g3_init_val("project_years", 100) |> + identity() -> params.in > nll <- model_fn(params.in) ; r <- attributes(nll) ; nll <- as.vector(nll) > > ok(ut_cmp_equal( + as.vector(tail(r$proj_logar1_stst_rec__var, -4)), + as.vector(rep(r$proj_logar1_stst_rec__var["1994"], 101)), + end = NULL), "r$proj_logar1_stst_rec__var: Projected values just repeat final non-projected value") ok - r$proj_logar1_stst_rec__var: Projected values just repeat final non-projected value > ok(ut_cmp_equal( + as.vector( g3_array_agg(r$detail_stst_imm__spawnednum, c("year"), step = 1, age = 0) ), + as.vector( r$proj_logar1_stst_rec__var ), + end = NULL), "r$detail_stst_imm__spawnednum: projection variable used for recruitment") ok - r$detail_stst_imm__spawnednum: projection variable used for recruitment > > gadget3:::ut_tmb_r_compare2(model_fn, model_cpp, params.in) # skip: not running TMB tests NULL > > ok_group("No noise, fixed loglevel") ########################################## # No noise, fixed loglevel > > attr(model_fn, 'parameter_template') |> + g3_init_val("stst.rec.#", rnorm(5, 1e5, 500)) |> + g3_init_val("stst.rec.proj.logar1.lstddev", -1e6) |> # i.e. no noise + g3_init_val("stst.rec.proj.logar1.logphi", 0.8) |> + g3_init_val("stst.rec.proj.logar1.loglevel", log(round(runif(1, 10, 20)))) |> + g3_init_val("stst_mat.spawn.blim", 1e2) |> # blim too low to trigger + + g3_init_val("*.K", 0.3, lower = 0.04, upper = 1.2) |> + g3_init_val("*.Linf", max(g3_stock_def(st_imm, "midlen")), spread = 0.2) |> + g3_init_val("*.t0", g3_stock_def(st_imm, "minage") - 0.8, spread = 2) |> + g3_init_val("*.walpha", 0.01, optimise = FALSE) |> + g3_init_val("*.wbeta", 3, optimise = FALSE) |> + + g3_init_val("project_years", 100) |> + identity() -> params.in > nll <- model_fn(params.in) ; r <- attributes(nll) ; nll <- as.vector(nll) > > ok(ut_cmp_equal( + as.vector(tail(r$proj_logar1_stst_rec__var, 10)), + rep(exp(params.in$stst.rec.proj.logar1.loglevel), 10), + end = NULL ), "proj_logar1_stst_rec__var: Settles to loglevel in projection, regardless of initial value") ok - proj_logar1_stst_rec__var: Settles to loglevel in projection, regardless of initial value > > gadget3:::ut_tmb_r_compare2(model_fn, model_cpp, params.in) # skip: not running TMB tests NULL > > ok_group("No noise, last 3 values as loglevel") ############################### # No noise, last 3 values as loglevel > > attr(model_fn, 'parameter_template') |> + g3_init_val("stst.rec.#", rnorm(5, 1e5, 500)) |> + g3_init_val("stst.rec.proj.logar1.lstddev", -1e6) |> # i.e. no noise + g3_init_val("stst.rec.proj.logar1.logphi", 0.8) |> + g3_init_val("stst.rec.proj.logar1.loglevel", -3) |> + g3_init_val("stst_mat.spawn.blim", 1e2) |> # blim too low to trigger + + g3_init_val("*.K", 0.3, lower = 0.04, upper = 1.2) |> + g3_init_val("*.Linf", max(g3_stock_def(st_imm, "midlen")), spread = 0.2) |> + g3_init_val("*.t0", g3_stock_def(st_imm, "minage") - 0.8, spread = 2) |> + g3_init_val("*.walpha", 0.01, optimise = FALSE) |> + g3_init_val("*.wbeta", 3, optimise = FALSE) |> + + g3_init_val("project_years", 100) |> + identity() -> params.in > nll <- model_fn(params.in) ; r <- attributes(nll) ; nll <- as.vector(nll) > > ok(ut_cmp_equal( + as.vector(tail(r$proj_logar1_stst_rec__var, 10)), + rep( mean(r$proj_logar1_stst_rec__var[c("1992", "1993", "1994")]), 10), + tolerance = 5e-5 ), "proj_logar1_stst_rec__var: Settles to loglevel matching mean of last 3 values") not ok - proj_logar1_stst_rec__var: Settles to loglevel matching mean of last 3 values # Test returned non-TRUE value: # Mean relative difference: 5.062598e-05 # --- as.vector(tail(r$proj_logar1_stst_rec__var, 10)) # +++ rep(mean(r$proj_logar1_stst_rec__var[c("1992", "1993", "1994")]), 10) # [1] [-99883.9 99883.9 99883.9 99883.9 99883.9 99883.9 99883.9 99883.9 99883.9-] # [-[10] 99883.9-]{+99888.96 99888.96 99888.96 99888.96 99888.96 99888.96 99888.96 99888.96+} # {+ [9] 99888.96 99888.96+} > > gadget3:::ut_tmb_r_compare2(model_fn, model_cpp, params.in) # skip: not running TMB tests NULL > > ok_group("With noise, no projection") ######################################### # With noise, no projection > > old_seed <- .Random.seed > set.seed(1234) # Fix seed so we always choose the same stst.rec.# > attr(model_fn, 'parameter_template') |> + g3_init_val("stst.rec.#", rnorm(5, 1e5, 500)) |> + g3_init_val("stst.rec.proj.logar1.lstddev", -8) |> + g3_init_val("stst.rec.proj.logar1.logphi", 0.8) |> + g3_init_val("stst_mat.spawn.blim", 1e2) |> # blim too low to trigger + + g3_init_val("*.K", 0.3, lower = 0.04, upper = 1.2) |> + g3_init_val("*.Linf", max(g3_stock_def(st_imm, "midlen")), spread = 0.2) |> + g3_init_val("*.t0", g3_stock_def(st_imm, "minage") - 0.8, spread = 2) |> + g3_init_val("*.walpha", 0.01, optimise = FALSE) |> + g3_init_val("*.wbeta", 3, optimise = FALSE) |> + + g3_init_val("project_years", 0) |> + identity() -> params.in > .Random.seed <- old_seed > nll <- model_fn(params.in) ; r <- attributes(nll) ; nll <- as.vector(nll) > > ok(ut_cmp_equal(nll, 682647457), "nll: Matches baseline (stst.rec.# always the same values)") ok - nll: Matches baseline (stst.rec.# always the same values) > ok(ut_cmp_equal( + as.vector(r$proj_logar1_stst_rec__nll), + c(588296503, 23684246, 23644656, 23227865, 23794187) ), "r$proj_logar1_stst_rec__nll: Matches baseline") ok - r$proj_logar1_stst_rec__nll: Matches baseline > > gadget3:::ut_tmb_r_compare2(model_fn, model_cpp, params.in) # skip: not running TMB tests NULL > > ok_group("With noise") ######################################################## # With noise > > attr(model_fn, 'parameter_template') |> + g3_init_val("stst.rec.#", rnorm(5, 1e5, 500)) |> + g3_init_val("stst.rec.proj.logar1.lstddev", -8) |> + g3_init_val("stst.rec.proj.logar1.logphi", 0.8) |> + g3_init_val("stst_mat.spawn.blim", 1e2) |> # blim too low to trigger + + g3_init_val("*.K", 0.3, lower = 0.04, upper = 1.2) |> + g3_init_val("*.Linf", max(g3_stock_def(st_imm, "midlen")), spread = 0.2) |> + g3_init_val("*.t0", g3_stock_def(st_imm, "minage") - 0.8, spread = 2) |> + g3_init_val("*.walpha", 0.01, optimise = FALSE) |> + g3_init_val("*.wbeta", 3, optimise = FALSE) |> + + g3_init_val("project_years", 100) |> + identity() -> params.in > nll <- model_fn(params.in) ; r <- attributes(nll) ; nll <- as.vector(nll) > > ok(ut_cmp_equal( + as.vector( g3_array_agg(r$detail_stst_imm__spawnednum, c("year"), step = 1, age = 0) ), + as.vector( r$proj_logar1_stst_rec__var ), + end = NULL), "r$detail_stst_imm__spawnednum: projection variable used for recruitment") ok - r$detail_stst_imm__spawnednum: projection variable used for recruitment > > ok(all(r$proj_logar1_stst_rec__var > 1e4), "r$proj_logar1_stst_rec__var: Noise not high enough for value to drop below 1e4") ok - r$proj_logar1_stst_rec__var: Noise not high enough for value to drop below 1e4 > > # plot(r$proj_logar1_stst_rec__var) > > proc.time() user system elapsed 3.410 0.080 4.338 1..8 # Looks like you failed 1 of 8 tests. # 4: proj_logar1_stst_rec__var: Settles to loglevel matching mean of last 3 values Flavor: r-patched-linux-x86_64