1 files changed, 48 insertions, 0 deletions
diff --git a/tests/testthat/test_parent_only.R b/tests/testthat/test_parent_only.R
new file mode 100644
index 00000000..16fc5131
--- /dev/null
+++ b/tests/testthat/test_parent_only.R
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+context("Fitting of parent only models")
+
+calc_dev.percent <- function(fitlist, reference) {
+  for (i in 1:length(fitlist)) {
+    fit <- fitlist[[i]]
+    results <- c(fit$bparms.optim, 
+                 endpoints(fit)$distimes$DT50,
+                 endpoints(fit)$distimes$DT90)
+    dev.percent[[i]] <- abs(100 * ((reference - results)/reference))
+  }
+  return(dev.percent)
+}
+
+SFO <- mkinmod(parent = list(type = "SFO"))
+FOMC <- mkinmod(parent = list(type = "FOMC"))
+
+test_that("SFO fit for FOCUS A deviates less than 0.1% from median of values from FOCUS report", {
+  fits.A.SFO <- list()
+  fits.A.SFO[[1]] <- mkinfit("SFO", FOCUS_2006_A, quiet=TRUE)
+  fits.A.SFO[[2]] <- mkinfit(SFO, FOCUS_2006_A, quiet=TRUE)
+  fits.A.SFO[[3]] <- mkinfit(SFO, FOCUS_2006_A, quiet=TRUE, solution_type = "eigen")
+  fits.A.SFO[[4]] <- mkinfit(SFO, FOCUS_2006_A, quiet=TRUE, solution_type = "deSolve")
+
+  median.A.SFO <- as.numeric(lapply(subset(FOCUS_2006_SFO_ref_A_to_F, 
+                                        dataset == "A", 
+                                        c(M0, k, DT50, DT90)), "median"))
+
+  dev.percent <- calc_dev.percent(fits.A.SFO, median.A.SFO)
+  expect_equivalent(dev.percent[[1]] < 0.1, rep(TRUE, 4))
+  expect_equivalent(dev.percent[[2]] < 0.1, rep(TRUE, 4))
+  expect_equivalent(dev.percent[[3]] < 0.1, rep(TRUE, 4))
+  expect_equivalent(dev.percent[[4]] < 0.1, rep(TRUE, 4))
+})
+
+test_that("SFO fit for FOCUS C deviates less than 0.1% from median of values from FOCUS report", {
+  fits.C.SFO <- list()
+  fits.C.SFO[[1]] <- mkinfit("SFO", FOCUS_2006_C, quiet=TRUE)
+  fits.C.SFO[[2]] <- mkinfit(SFO, FOCUS_2006_C, quiet=TRUE)
+  fits.C.SFO[[3]] <- mkinfit(SFO, FOCUS_2006_C, quiet=TRUE, solution_type = "deSolve")
+
+  median.C.SFO <- as.numeric(lapply(subset(FOCUS_2006_SFO_ref_A_to_F, 
+                                          dataset == "C", 
+                                          c(M0, k, DT50, DT90)), "median"))
+  dev.percent <- calc_dev.percent(fits.C.SFO, median.C.SFO)
+  expect_equivalent(dev.percent[[1]] < 0.1, rep(TRUE, 4))
+  expect_equivalent(dev.percent[[2]] < 0.1, rep(TRUE, 4))
+  expect_equivalent(dev.percent[[3]] < 0.1, rep(TRUE, 4))
+})