From 3cddc58e6fcdd5341b354dc5b5f784ec8190f62b Mon Sep 17 00:00:00 2001 From: Johannes Ranke Date: Mon, 14 Mar 2022 15:41:56 +0100 Subject: Reduce check time for CRAN, release --- docs/reference/nlme.mmkin.html | 9 ++++----- 1 file changed, 4 insertions(+), 5 deletions(-) (limited to 'docs/reference/nlme.mmkin.html') diff --git a/docs/reference/nlme.mmkin.html b/docs/reference/nlme.mmkin.html index 4b59afed..1f071ffa 100644 --- a/docs/reference/nlme.mmkin.html +++ b/docs/reference/nlme.mmkin.html @@ -97,7 +97,7 @@ have been obtained by fitting the same model to a list of datasets.

data = "auto", fixed = lapply(as.list(names(mean_degparms(model))), function(el) eval(parse(text = paste(el, 1, sep = "~")))), - random = pdDiag(fixed), + random = pdDiag(fixed), groups, start = mean_degparms(model, random = TRUE, test_log_parms = TRUE), correlation = NULL, @@ -187,12 +187,11 @@ methods that will automatically work on 'nlme.mmkin' objects, such as

Examples

ds <- lapply(experimental_data_for_UBA_2019[6:10],
  function(x) subset(x$data[c("name", "time", "value")], name == "parent"))
-f <- mmkin(c("SFO", "DFOP"), ds, quiet = TRUE, cores = 1)
-library(nlme)
-f_nlme_sfo <- nlme(f["SFO", ])
 
 # \dontrun{
-
+  f <- mmkin(c("SFO", "DFOP"), ds, quiet = TRUE, cores = 1)
+  library(nlme)
+  f_nlme_sfo <- nlme(f["SFO", ])
   f_nlme_dfop <- nlme(f["DFOP", ])
   anova(f_nlme_sfo, f_nlme_dfop)
 #>             Model df      AIC      BIC    logLik   Test  L.Ratio p-value
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