From 524a8bba89b95840b4e9215c403947a8bb76d7b2 Mon Sep 17 00:00:00 2001 From: Johannes Ranke Date: Mon, 30 Nov 2020 16:05:10 +0100 Subject: Complete rebuild of static docs of dev version --- docs/dev/reference/plot.mixed.mmkin.html | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) (limited to 'docs/dev/reference/plot.mixed.mmkin.html') diff --git a/docs/dev/reference/plot.mixed.mmkin.html b/docs/dev/reference/plot.mixed.mmkin.html index 6ed7cbba..492e289c 100644 --- a/docs/dev/reference/plot.mixed.mmkin.html +++ b/docs/dev/reference/plot.mixed.mmkin.html @@ -264,8 +264,8 @@ corresponding model prediction lines for the different datasets.

ds <- lapply(experimental_data_for_UBA_2019[6:10],
  function(x) x$data[c("name", "time", "value")])
 names(ds) <- paste0("ds ", 6:10)
-dfop_sfo <- mkinmod(parent = mkinsub("DFOP", "A1"),
-  A1 = mkinsub("SFO"), quiet = TRUE)
+dfop_sfo <- mkinmod(parent = mkinsub("DFOP", "A1"),
+  A1 = mkinsub("SFO"), quiet = TRUE)
 # \dontrun{
 f <- mmkin(list("DFOP-SFO" = dfop_sfo), ds, quiet = TRUE)
 plot(f[, 3:4], standardized = TRUE)
@@ -273,14 +273,14 @@ corresponding model prediction lines for the different datasets.

 # For this fit we need to increase pnlsMaxiter, and we increase the
 # tolerance in order to speed up the fit for this example evaluation
 f_nlme <- nlme(f, control = list(pnlsMaxIter = 120, tolerance = 1e-3))
-plot(f_nlme)
+
#> Warning: Iteration 1, LME step: nlminb() did not converge (code = 1). Do increase 'msMaxIter'!
#> Warning: Iteration 2, LME step: nlminb() did not converge (code = 1). Do increase 'msMaxIter'!
plot(f_nlme)
 

 f_saem <- saem(f)
 
#> Running main SAEM algorithm
-#> [1] "Thu Nov 19 14:51:14 2020"
+#> [1] "Mon Nov 30 15:52:45 2020"
 #> ....
 #>     Minimisation finished
-#> [1] "Thu Nov 19 14:51:24 2020"
plot(f_saem)
+#> [1] "Mon Nov 30 15:52:54 2020"
plot(f_saem)
 
# }
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