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Diffstat (limited to 'man/dimethenamid_2018.Rd')
-rw-r--r-- | man/dimethenamid_2018.Rd | 50 |
1 files changed, 49 insertions, 1 deletions
diff --git a/man/dimethenamid_2018.Rd b/man/dimethenamid_2018.Rd index 31a05a26..0d1265be 100644 --- a/man/dimethenamid_2018.Rd +++ b/man/dimethenamid_2018.Rd @@ -11,7 +11,7 @@ An \link{mkindsg} object grouping seven 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 -\href{https://open.efsa.europa.eu}{https://open.efsa.europa.eu/study-inventory/EFSA-Q-2014-00716} +\url{https://open.efsa.europa.eu/study-inventory/EFSA-Q-2014-00716} } \usage{ dimethenamid_2018 @@ -31,5 +31,53 @@ specific pieces of information in the comments. } \examples{ print(dimethenamid_2018) +dmta_ds <- lapply(1:7, 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[["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} |