From 3cddc58e6fcdd5341b354dc5b5f784ec8190f62b Mon Sep 17 00:00:00 2001
From: Johannes Ranke <jranke@uni-bremen.de>
Date: Mon, 14 Mar 2022 15:41:56 +0100
Subject: Reduce check time for CRAN, release

---
 man/create_deg_func.Rd    | 2 +-
 man/nlme.mmkin.Rd         | 7 +++----
 man/summary.nlme.mmkin.Rd | 2 ++
 3 files changed, 6 insertions(+), 5 deletions(-)

(limited to 'man')

diff --git a/man/create_deg_func.Rd b/man/create_deg_func.Rd
index 69058038..7b419342 100644
--- a/man/create_deg_func.Rd
+++ b/man/create_deg_func.Rd
@@ -24,8 +24,8 @@ SFO_SFO <- mkinmod(
   m1 = mkinsub("SFO"))
 FOCUS_D <- subset(FOCUS_2006_D, value != 0) # to avoid warnings
 fit_1 <- mkinfit(SFO_SFO, FOCUS_D, solution_type = "analytical", quiet = TRUE)
-fit_2 <- mkinfit(SFO_SFO, FOCUS_D, solution_type = "deSolve", quiet = TRUE)
 \dontrun{
+fit_2 <- mkinfit(SFO_SFO, FOCUS_D, solution_type = "deSolve", quiet = TRUE)
 if (require(rbenchmark))
   benchmark(
     analytical = mkinfit(SFO_SFO, FOCUS_D, solution_type = "analytical", quiet = TRUE),
diff --git a/man/nlme.mmkin.Rd b/man/nlme.mmkin.Rd
index ed58d603..ed19c0d3 100644
--- a/man/nlme.mmkin.Rd
+++ b/man/nlme.mmkin.Rd
@@ -92,12 +92,11 @@ 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)
   print(f_nlme_dfop)
diff --git a/man/summary.nlme.mmkin.Rd b/man/summary.nlme.mmkin.Rd
index d7e61074..425df096 100644
--- a/man/summary.nlme.mmkin.Rd
+++ b/man/summary.nlme.mmkin.Rd
@@ -87,11 +87,13 @@ ds_sfo_syn <- lapply(ds_sfo_mean, function(ds) {
     n = 1)[[1]]
 })
 
+\dontrun{
 # Evaluate using mmkin and nlme
 library(nlme)
 f_mmkin <- mmkin("SFO", ds_sfo_syn, quiet = TRUE, error_model = "tc", cores = 1)
 f_nlme <- nlme(f_mmkin)
 summary(f_nlme, data = TRUE)
+}
 
 }
 \author{
-- 
cgit v1.2.1