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-rw-r--r--R/dimethenamid_2018.R10
1 files changed, 7 insertions, 3 deletions
diff --git a/R/dimethenamid_2018.R b/R/dimethenamid_2018.R
index 2fdd1981..00ed9073 100644
--- a/R/dimethenamid_2018.R
+++ b/R/dimethenamid_2018.R
@@ -49,12 +49,16 @@
#' # look more plausible, but the truth is likely to be in
#' # between these variants
#' plot(mixed(dmta_sfo_sfo3p_tc), test_log_parms = TRUE)
-#' # Therefore we use nonlinear mixed-effects models
+#' # We can also specify a default value for the failing
+#' # log parameters, to mimic FOCUS guidance
+#' plot(mixed(dmta_sfo_sfo3p_tc), test_log_parms = TRUE,
+#' default_log_parms = log(2)/1000)
+#' # As these attempts are not satisfying, we use nonlinear mixed-effects models
#' # f_dmta_nlme_tc <- nlme(dmta_sfo_sfo3p_tc)
#' # nlme reaches maxIter = 50 without convergence
#' f_dmta_saem_tc <- saem(dmta_sfo_sfo3p_tc)
#' # I am commenting out the convergence plot as rendering them
-#' # with pkgdown fails (at least without further tweaks to the
+#' # with pkgdown fails (at least without further tweaks to the
#' # graphics device used)
#' #saemix::plot(f_dmta_saem_tc$so, plot.type = "convergence")
#' summary(f_dmta_saem_tc)
@@ -65,6 +69,6 @@
#' # covariance.model = diag(c(0, rep(1, 7))))
#' # saemix::plot(f_dmta_saem_tc_2$so, plot.type = "convergence")
#' # This does not perform better judged by AIC and BIC
-#' saemix::compare.saemix(f_dmta_saem_tc$so, f_dmta_saem_tc_2$so)
+#' # saemix::compare.saemix(f_dmta_saem_tc$so, f_dmta_saem_tc_2$so)
#' }
"dimethenamid_2018"

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