diff options
author | Johannes Ranke <jranke@uni-bremen.de> | 2021-01-06 20:34:52 +0100 |
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committer | Johannes Ranke <jranke@uni-bremen.de> | 2021-01-06 20:38:29 +0100 |
commit | f99bdd8697c3bfbd432a320774a4692fd0e1241a (patch) | |
tree | f2f03f30d3fa3f25780f21611ec407b7a90ad2eb /tests | |
parent | d28ce9f8ad6f9573e403ebd8eb637ecd5e5b0e02 (diff) |
Make saemix and corresponding tests optional
Address release critical check and test issues
Diffstat (limited to 'tests')
-rw-r--r-- | tests/testthat/print_mmkin_biphasic_mixed.txt | 4 | ||||
-rw-r--r-- | tests/testthat/print_nlme_biphasic.txt | 8 | ||||
-rw-r--r-- | tests/testthat/setup_script.R | 39 | ||||
-rw-r--r-- | tests/testthat/summary_nlme_biphasic_s.txt | 42 | ||||
-rw-r--r-- | tests/testthat/test_error_models.R | 1 | ||||
-rw-r--r-- | tests/testthat/test_mixed.R | 13 | ||||
-rw-r--r-- | tests/testthat/test_plot.R | 14 |
7 files changed, 71 insertions, 50 deletions
diff --git a/tests/testthat/print_mmkin_biphasic_mixed.txt b/tests/testthat/print_mmkin_biphasic_mixed.txt index 3d92b120..11e11bfc 100644 --- a/tests/testthat/print_mmkin_biphasic_mixed.txt +++ b/tests/testthat/print_mmkin_biphasic_mixed.txt @@ -21,6 +21,6 @@ OK: No warnings Mean fitted parameters: parent_0 log_k_m1 f_parent_qlogis log_k1 log_k2 - 100.700 -6.299 -0.078 -3.094 -3.954 + 100.702 -5.347 -0.078 -2.681 -4.366 g_qlogis - 0.027 + -0.335 diff --git a/tests/testthat/print_nlme_biphasic.txt b/tests/testthat/print_nlme_biphasic.txt index 98895d3a..f86bda76 100644 --- a/tests/testthat/print_nlme_biphasic.txt +++ b/tests/testthat/print_nlme_biphasic.txt @@ -11,19 +11,19 @@ d_m1/dt = + f_parent_to_m1 * ((k1 * g * exp(-k1 * time) + k2 * (1 - g) Data: 509 observations of 2 variable(s) grouped in 15 datasets -Log-likelihood: -1343 +Log-likelihood: -1329 Fixed effects: list(parent_0 ~ 1, log_k_m1 ~ 1, f_parent_qlogis ~ 1, log_k1 ~ 1, log_k2 ~ 1, g_qlogis ~ 1) parent_0 log_k_m1 f_parent_qlogis log_k1 log_k2 - 100.37 -6.23 -0.08 -3.22 -4.10 + 100.43 -5.34 -0.08 -2.90 -4.34 g_qlogis - -0.10 + -0.19 Random effects: Formula: list(parent_0 ~ 1, log_k_m1 ~ 1, f_parent_qlogis ~ 1, log_k1 ~ 1, log_k2 ~ 1, g_qlogis ~ 1) Level: ds Structure: Diagonal parent_0 log_k_m1 f_parent_qlogis log_k1 log_k2 g_qlogis Residual -StdDev: 1 2e-04 0.3 0.7 0.8 0.3 3 +StdDev: 1 0.1 0.3 0.6 0.5 0.3 3 diff --git a/tests/testthat/setup_script.R b/tests/testthat/setup_script.R index fd9635d1..2071e05c 100644 --- a/tests/testthat/setup_script.R +++ b/tests/testthat/setup_script.R @@ -156,7 +156,7 @@ DFOP_SFO <- mkinmod( m1 = mkinsub("SFO"), quiet = TRUE) dfop_sfo_pop <- list(parent_0 = 100, - k_m1 = 0.002, f_parent_to_m1 = 0.5, + k_m1 = 0.005, f_parent_to_m1 = 0.5, k1 = 0.05, k2 = 0.01, g = 0.5) syn_biphasic_parms <- as.matrix(data.frame( k1 = rlnorm(n_biphasic, log(dfop_sfo_pop$k1), log_sd), @@ -178,19 +178,27 @@ ds_biphasic <- lapply(ds_biphasic_mean, function(ds) { }) # Mixed model fits -mmkin_sfo_1 <- mmkin("SFO", ds_sfo, quiet = TRUE, error_model = "tc") -sfo_saem_1 <- saem(mmkin_sfo_1, quiet = TRUE, transformations = "saemix") +saemix_available <- FALSE +if (requireNamespace("saemix", quietly = TRUE)) { + if(packageVersion("saemix") > "3.1.9000") saemix_available <- TRUE +} +mmkin_sfo_1 <- mmkin("SFO", ds_sfo, quiet = TRUE, error_model = "tc", cores = n_cores) +mmkin_dfop_1 <- mmkin("DFOP", ds_dfop, quiet = TRUE, cores = n_cores) +mmkin_biphasic <- mmkin(list("DFOP-SFO" = DFOP_SFO), ds_biphasic, quiet = TRUE, cores = n_cores) +mmkin_biphasic_mixed <- mixed(mmkin_biphasic) -mmkin_dfop_1 <- mmkin("DFOP", ds_dfop, quiet = TRUE) -dfop_saemix_1 <- saem(mmkin_dfop_1, quiet = TRUE, transformations = "mkin") -dfop_saemix_2 <- saem(mmkin_dfop_1, quiet = TRUE, transformations = "saemix") dfop_nlme_1 <- nlme(mmkin_dfop_1) - -mmkin_biphasic <- mmkin(list("DFOP-SFO" = DFOP_SFO), ds_biphasic, quiet = TRUE) -mmkin_biphasic_mixed <- mixed(mmkin_biphasic) nlme_biphasic <- nlme(mmkin_biphasic) -saem_biphasic_m <- saem(mmkin_biphasic, transformations = "mkin", quiet = TRUE) -saem_biphasic_s <- saem(mmkin_biphasic, transformations = "saemix", quiet = TRUE) + +if (saemix_available) { + sfo_saem_1 <- saem(mmkin_sfo_1, quiet = TRUE, transformations = "saemix") + + dfop_saemix_1 <- saem(mmkin_dfop_1, quiet = TRUE, transformations = "mkin") + dfop_saemix_2 <- saem(mmkin_dfop_1, quiet = TRUE, transformations = "saemix") + + saem_biphasic_m <- saem(mmkin_biphasic, transformations = "mkin", quiet = TRUE) + saem_biphasic_s <- saem(mmkin_biphasic, transformations = "saemix", quiet = TRUE) +} ds_uba <- lapply(experimental_data_for_UBA_2019[6:10], function(x) subset(x$data[c("name", "time", "value")])) @@ -200,7 +208,10 @@ sfo_sfo_uba <- mkinmod(parent = mkinsub("SFO", "A1"), dfop_sfo_uba <- mkinmod(parent = mkinsub("DFOP", "A1"), A1 = mkinsub("SFO"), quiet = TRUE) f_uba_mmkin <- mmkin(list("SFO-SFO" = sfo_sfo_uba, "DFOP-SFO" = dfop_sfo_uba), - ds_uba, quiet = TRUE) + ds_uba, quiet = TRUE, cores = n_cores) f_uba_dfop_sfo_mixed <- mixed(f_uba_mmkin[2, ]) -f_uba_sfo_sfo_saem <- saem(f_uba_mmkin["SFO-SFO", ], quiet = TRUE, transformations = "saemix") -f_uba_dfop_sfo_saem <- saem(f_uba_mmkin["DFOP-SFO", ], quiet = TRUE, transformations = "saemix") + +if (saemix_available) { + f_uba_sfo_sfo_saem <- saem(f_uba_mmkin["SFO-SFO", ], quiet = TRUE, transformations = "saemix") + f_uba_dfop_sfo_saem <- saem(f_uba_mmkin["DFOP-SFO", ], quiet = TRUE, transformations = "saemix") +} diff --git a/tests/testthat/summary_nlme_biphasic_s.txt b/tests/testthat/summary_nlme_biphasic_s.txt index f9171748..65aead62 100644 --- a/tests/testthat/summary_nlme_biphasic_s.txt +++ b/tests/testthat/summary_nlme_biphasic_s.txt @@ -17,15 +17,15 @@ Data: Model predictions using solution type analytical -Fitted in test time 0 s using 2 iterations +Fitted in test time 0 s using 3 iterations Variance model: Constant variance Mean of starting values for individual parameters: parent_0 log_k_m1 f_parent_qlogis log_k1 log_k2 - 100.70 -6.30 -0.08 -3.09 -3.95 + 100.70 -5.35 -0.08 -2.68 -4.37 g_qlogis - 0.03 + -0.33 Fixed degradation parameter values: value type @@ -34,40 +34,40 @@ m1_0 0 state Results: AIC BIC logLik - 2711 2766 -1343 + 2683 2738 -1329 Optimised, transformed parameters with symmetric confidence intervals: lower est. upper -parent_0 99.5 100.37 101.23 -log_k_m1 -6.5 -6.23 -5.94 -f_parent_qlogis -0.2 -0.08 0.08 -log_k1 -3.6 -3.22 -2.84 -log_k2 -4.5 -4.10 -3.68 -g_qlogis -0.4 -0.10 0.17 +parent_0 99.6 100.43 101.26 +log_k_m1 -5.5 -5.34 -5.18 +f_parent_qlogis -0.3 -0.08 0.09 +log_k1 -3.2 -2.90 -2.60 +log_k2 -4.6 -4.34 -4.07 +g_qlogis -0.5 -0.19 0.08 Correlation: prnt_0 lg_k_1 f_prn_ log_k1 log_k2 -log_k_m1 -0.185 -f_parent_qlogis -0.161 0.405 -log_k1 0.056 -0.014 -0.016 -log_k2 0.025 0.011 -0.004 0.026 -g_qlogis -0.032 -0.046 -0.012 -0.109 -0.103 +log_k_m1 -0.177 +f_parent_qlogis -0.164 0.385 +log_k1 0.108 -0.017 -0.025 +log_k2 0.036 0.054 0.008 0.096 +g_qlogis -0.068 -0.110 -0.030 -0.269 -0.267 Random effects: Formula: list(parent_0 ~ 1, log_k_m1 ~ 1, f_parent_qlogis ~ 1, log_k1 ~ 1, log_k2 ~ 1, g_qlogis ~ 1) Level: ds Structure: Diagonal parent_0 log_k_m1 f_parent_qlogis log_k1 log_k2 g_qlogis Residual -StdDev: 1 2e-04 0.3 0.7 0.8 0.3 3 +StdDev: 1 0.1 0.3 0.6 0.5 0.3 3 Backtransformed parameters with asymmetric confidence intervals: lower est. upper parent_0 1e+02 1e+02 1e+02 -k_m1 1e-03 2e-03 3e-03 +k_m1 4e-03 5e-03 6e-03 f_parent_to_m1 4e-01 5e-01 5e-01 -k1 3e-02 4e-02 6e-02 -k2 1e-02 2e-02 3e-02 +k1 4e-02 6e-02 7e-02 +k2 1e-02 1e-02 2e-02 g 4e-01 5e-01 5e-01 Resulting formation fractions: @@ -77,5 +77,5 @@ parent_sink 0.5 Estimated disappearance times: DT50 DT90 DT50back DT50_k1 DT50_k2 -parent 27 105 31 17 42 -m1 352 1171 NA NA NA +parent 26 131 39 13 53 +m1 144 479 NA NA NA diff --git a/tests/testthat/test_error_models.R b/tests/testthat/test_error_models.R index 2a1ffcc1..c11f6712 100644 --- a/tests/testthat/test_error_models.R +++ b/tests/testthat/test_error_models.R @@ -56,6 +56,7 @@ test_that("The default error model algorithm finds the best known AIC values for f_tc_exp_d_3 <- mmkin(c("SFO", "DFOP", "HS"), lapply(experimental_data_for_UBA_2019, function(x) x$data), error_model = "tc", + cores = n_cores, quiet = TRUE) AIC_exp_d_3 <- lapply(f_tc_exp_d_3, AIC) diff --git a/tests/testthat/test_mixed.R b/tests/testthat/test_mixed.R index 1e96c338..e9af10e6 100644 --- a/tests/testthat/test_mixed.R +++ b/tests/testthat/test_mixed.R @@ -1,6 +1,8 @@ context("Nonlinear mixed-effects models") -test_that("Parent only models can be fitted using nonlinear mixed effects models", { +test_that("Parent fits using saemix are correctly implemented", { + skip_if(!saemix_available) + expect_error(saem(fits), "Only row objects") # Some fits were done in the setup script mmkin_sfo_2 <- update(mmkin_sfo_1, fixed_initials = c(parent = 100)) @@ -26,7 +28,7 @@ test_that("Parent only models can be fitted using nonlinear mixed effects models expect_equal(round(s_sfo_s1$confint_back["k_parent", "est."], 3), round(s_sfo_n$confint_back["k_parent", "est."], 3)) - mmkin_fomc_1 <- mmkin("FOMC", ds_fomc, quiet = TRUE, error_model = "tc") + mmkin_fomc_1 <- mmkin("FOMC", ds_fomc, quiet = TRUE, error_model = "tc", cores = n_cores) fomc_saem_1 <- saem(mmkin_fomc_1, quiet = TRUE) ci_fomc_s1 <- summary(fomc_saem_1)$confint_back @@ -66,7 +68,7 @@ test_that("Parent only models can be fitted using nonlinear mixed effects models rel_diff_2 <- (s_dfop_s2$confint_back[, "est."] - dfop_pop) / dfop_pop expect_true(all(rel_diff_2 < 0.12)) - mmkin_hs_1 <- mmkin("HS", ds_hs, quiet = TRUE, error_model = "const") + mmkin_hs_1 <- mmkin("HS", ds_hs, quiet = TRUE, error_model = "const", cores = n_cores) hs_saem_1 <- saem(mmkin_hs_1, quiet = TRUE) ci_hs_s1 <- summary(hs_saem_1)$confint_back @@ -88,10 +90,12 @@ test_that("Print methods work", { expect_known_output(print(fits, digits = 2), "print_mmkin_parent.txt") expect_known_output(print(mmkin_biphasic_mixed, digits = 2), "print_mmkin_biphasic_mixed.txt") expect_known_output(print(nlme_biphasic, digits = 1), "print_nlme_biphasic.txt") + + skip_if(!saemix_available) expect_known_output(print(sfo_saem_1, digits = 1), "print_sfo_saem_1.txt") }) -test_that("nlme results are reproducible", { +test_that("nlme results are reproducible to some degree", { test_summary <- summary(nlme_biphasic) test_summary$nlmeversion <- "Dummy 0.0 for testing" @@ -111,6 +115,7 @@ test_that("nlme results are reproducible", { test_that("saem results are reproducible for biphasic fits", { + skip_if(!saemix_available) test_summary <- summary(saem_biphasic_s) test_summary$saemixversion <- "Dummy 0.0 for testing" test_summary$mkinversion <- "Dummy 0.0 for testing" diff --git a/tests/testthat/test_plot.R b/tests/testthat/test_plot.R index 75d401a3..1c95d069 100644 --- a/tests/testthat/test_plot.R +++ b/tests/testthat/test_plot.R @@ -35,8 +35,10 @@ test_that("Plotting mkinfit, mmkin and mixed model objects is reproducible", { plot_biphasic_mmkin <- function() plot(f_uba_dfop_sfo_mixed) vdiffr::expect_doppelganger("mixed model fit for mmkin object", plot_biphasic_mmkin) - plot_biphasic_saem_s <- function() plot(f_uba_dfop_sfo_saem) - vdiffr::expect_doppelganger("mixed model fit for saem object with saemix transformations", plot_biphasic_saem_s) + if (saemix_available) { + plot_biphasic_saem_s <- function() plot(f_uba_dfop_sfo_saem) + vdiffr::expect_doppelganger("mixed model fit for saem object with saemix transformations", plot_biphasic_saem_s) + } skip_on_travis() @@ -46,10 +48,12 @@ test_that("Plotting mkinfit, mmkin and mixed model objects is reproducible", { #plot_biphasic_mmkin <- function() plot(mixed(mmkin_biphasic)) # Biphasic fits with lots of data and fits have lots of potential for differences plot_biphasic_nlme <- function() plot(nlme_biphasic) - #plot_biphasic_saem_s <- function() plot(saem_biphasic_s) - plot_biphasic_saem_m <- function() plot(saem_biphasic_m) + if (saemix_available) { + #plot_biphasic_saem_s <- function() plot(saem_biphasic_s) + plot_biphasic_saem_m <- function() plot(saem_biphasic_m) - vdiffr::expect_doppelganger("mixed model fit for saem object with mkin transformations", plot_biphasic_saem_m) + vdiffr::expect_doppelganger("mixed model fit for saem object with mkin transformations", plot_biphasic_saem_m) + } # different results when working with eigenvalues plot_errmod_fit_D_obs_eigen <- function() plot_err(fit_D_obs_eigen, sep_obs = FALSE) |