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-rw-r--r--man/dimethenamid_2018.Rd53
1 files changed, 52 insertions, 1 deletions
diff --git a/man/dimethenamid_2018.Rd b/man/dimethenamid_2018.Rd
index b6f761e8..a0e5bbea 100644
--- a/man/dimethenamid_2018.Rd
+++ b/man/dimethenamid_2018.Rd
@@ -11,7 +11,7 @@ An \link{mkindsg} object grouping eight datasets with some meta information
Rapporteur Member State Germany, Co-Rapporteur Member State Bulgaria (2018)
Renewal Assessment Report Dimethenamid-P Volume 3 - B.8 Environmental fate and behaviour
Rev. 2 - November 2017
-\url{http://registerofquestions.efsa.europa.eu/roqFrontend/outputLoader?output=ON-5211}
+\url{https://open.efsa.europa.eu/study-inventory/EFSA-Q-2014-00716}
}
\usage{
dimethenamid_2018
@@ -31,5 +31,56 @@ specific pieces of information in the comments.
}
\examples{
print(dimethenamid_2018)
+dmta_ds <- lapply(1:8, function(i) {
+ ds_i <- dimethenamid_2018$ds[[i]]$data
+ ds_i[ds_i$name == "DMTAP", "name"] <- "DMTA"
+ ds_i$time <- ds_i$time * dimethenamid_2018$f_time_norm[i]
+ ds_i
+})
+names(dmta_ds) <- sapply(dimethenamid_2018$ds, function(ds) ds$title)
+dmta_ds[["Borstel"]] <- rbind(dmta_ds[["Borstel 1"]], dmta_ds[["Borstel 2"]])
+dmta_ds[["Borstel 1"]] <- NULL
+dmta_ds[["Borstel 2"]] <- NULL
+dmta_ds[["Elliot"]] <- rbind(dmta_ds[["Elliot 1"]], dmta_ds[["Elliot 2"]])
+dmta_ds[["Elliot 1"]] <- NULL
+dmta_ds[["Elliot 2"]] <- NULL
+\dontrun{
+dfop_sfo3_plus <- mkinmod(
+ DMTA = mkinsub("DFOP", c("M23", "M27", "M31")),
+ M23 = mkinsub("SFO"),
+ M27 = mkinsub("SFO"),
+ M31 = mkinsub("SFO", "M27", sink = FALSE),
+ quiet = TRUE
+)
+f_dmta_mkin_tc <- mmkin(
+ list("DFOP-SFO3+" = dfop_sfo3_plus),
+ dmta_ds, quiet = TRUE, error_model = "tc")
+nlmixr_model(f_dmta_mkin_tc)
+# The focei fit takes about four minutes on my system
+system.time(
+ f_dmta_nlmixr_focei <- nlmixr(f_dmta_mkin_tc, est = "focei",
+ control = nlmixr::foceiControl(print = 500))
+)
+summary(f_dmta_nlmixr_focei)
+plot(f_dmta_nlmixr_focei)
+# Using saemix takes about 18 minutes
+system.time(
+ f_dmta_saemix <- saem(f_dmta_mkin_tc, test_log_parms = TRUE)
+)
+
+# nlmixr with est = "saem" is pretty fast with default iteration numbers, most
+# of the time (about 2.5 minutes) is spent for calculating the log likelihood at the end
+# The likelihood calculated for the nlmixr fit is much lower than that found by saemix
+# Also, the trace plot and the plot of the individual predictions is not
+# convincing for the parent. It seems we are fitting an overparameterised
+# model, so the result we get strongly depends on starting parameters and control settings.
+system.time(
+ f_dmta_nlmixr_saem <- nlmixr(f_dmta_mkin_tc, est = "saem",
+ control = nlmixr::saemControl(print = 500, logLik = TRUE, nmc = 9))
+)
+traceplot(f_dmta_nlmixr_saem$nm)
+summary(f_dmta_nlmixr_saem)
+plot(f_dmta_nlmixr_saem)
+}
}
\keyword{datasets}

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