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-rw-r--r--inst/unitTests/runit.mkinerrmin.R12
1 files changed, 10 insertions, 2 deletions
diff --git a/inst/unitTests/runit.mkinerrmin.R b/inst/unitTests/runit.mkinerrmin.R
index 56a33ff9..96793a36 100644
--- a/inst/unitTests/runit.mkinerrmin.R
+++ b/inst/unitTests/runit.mkinerrmin.R
@@ -8,26 +8,34 @@ test.FOCUS_2006_D_SFO_SFO <- function()
m1 = list(type = "SFO"), use_of_ff = "max")
fit.1.e <- mkinfit(SFO_SFO.1, FOCUS_2006_D)
- fit.1.d <- mkinfit(SFO_SFO.1, solution_type = "deSolve", FOCUS_2006_D)
+ fit.1.d <- mkinfit(SFO_SFO.1, solution_type = "deSolve", use_compiled = FALSE, FOCUS_2006_D)
+ fit.1.dc <- mkinfit(SFO_SFO.1, solution_type = "deSolve", use_compiled = TRUE, FOCUS_2006_D)
fit.2.e <- mkinfit(SFO_SFO.2, FOCUS_2006_D)
- fit.2.d <- mkinfit(SFO_SFO.2, solution_type = "deSolve", FOCUS_2006_D)
+ fit.2.d <- mkinfit(SFO_SFO.2, solution_type = "deSolve", use_compiled = FALSE, FOCUS_2006_D)
+ fit.2.dc <- mkinfit(SFO_SFO.2, solution_type = "deSolve", use_compiled = TRUE, FOCUS_2006_D)
FOCUS_2006_D_results_schaefer07_means <- c(
parent_0 = 99.65, DT50_parent = 7.04, DT50_m1 = 131.34)
r.1.e <- c(fit.1.e$bparms.optim[[1]], endpoints(fit.1.e)$distimes[[1]])
r.1.d <- c(fit.1.d$bparms.optim[[1]], endpoints(fit.1.d)$distimes[[1]])
+ r.1.dc <- c(fit.1.dc$bparms.optim[[1]], endpoints(fit.1.dc)$distimes[[1]])
r.2.e <- c(fit.2.e$bparms.optim[[1]], endpoints(fit.2.e)$distimes[[1]])
r.2.d <- c(fit.2.d$bparms.optim[[1]], endpoints(fit.2.d)$distimes[[1]])
+ r.2.dc <- c(fit.2.dc$bparms.optim[[1]], endpoints(fit.2.dc)$distimes[[1]])
dev.1.e <- 100 * (r.1.e - FOCUS_2006_D_results_schaefer07_means)/r.1.e
checkIdentical(as.numeric(abs(dev.1.e)) < 1, rep(TRUE, 3))
dev.1.d <- 100 * (r.1.d - FOCUS_2006_D_results_schaefer07_means)/r.1.d
checkIdentical(as.numeric(abs(dev.1.d)) < 1, rep(TRUE, 3))
+ dev.1.dc <- 100 * (r.1.dc - FOCUS_2006_D_results_schaefer07_means)/r.1.dc
+ checkIdentical(as.numeric(abs(dev.1.dc)) < 1, rep(TRUE, 3))
dev.2.e <- 100 * (r.2.e - FOCUS_2006_D_results_schaefer07_means)/r.2.e
checkIdentical(as.numeric(abs(dev.2.e)) < 1, rep(TRUE, 3))
dev.2.d <- 100 * (r.2.d - FOCUS_2006_D_results_schaefer07_means)/r.2.d
checkIdentical(as.numeric(abs(dev.2.d)) < 1, rep(TRUE, 3))
+ dev.2.dc <- 100 * (r.2.dc - FOCUS_2006_D_results_schaefer07_means)/r.2.dc
+ checkIdentical(as.numeric(abs(dev.2.d)) < 1, rep(TRUE, 3))
round(mkinerrmin(fit.2.e), 4)
round(mkinerrmin(fit.2.d), 4)

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