Make checking faster, testing is done by tests

1 files changed, 6 insertions, 13 deletions

diff --git a/man/mkinfit.Rd b/man/mkinfit.Rd
index 34e5bbae..2d8d3726 100644
--- a/man/mkinfit.Rd
+++ b/man/mkinfit.Rd
@@ -243,20 +243,14 @@ SFO_SFO <- mkinmod(
 # Fit the model to the FOCUS example dataset D using defaults
 system.time(fit <- mkinfit(SFO_SFO, FOCUS_2006_D, 
                            solution_type = "eigen"))
-system.time(fit.deSolve <- mkinfit(SFO_SFO, FOCUS_2006_D, 
-                           solution_type = "deSolve", use_compiled = FALSE))
-system.time(fit.deSolve.compiled <- mkinfit(SFO_SFO, FOCUS_2006_D, 
-                           solution_type = "deSolve", use_compiled = TRUE))
-# The performance benefit of using the compiled version is immense compared
-# with deSolve without compilation, and about a factor of two compared with the
-# eigenvalue based solution
 coef(fit)
-coef(fit.deSolve)
-coef(fit.deSolve.compiled)
 endpoints(fit)
+\dontrun{
+system.time(fit.deSolve <- mkinfit(SFO_SFO, FOCUS_2006_D, 
+                           solution_type = "deSolve"))
+coef(fit.deSolve)
 endpoints(fit.deSolve)
-# Check compiled model versions against other solutions
-
+}
 
 # Use stepwise fitting, using optimised parameters from parent only fit, FOMC
 \dontrun{
@@ -282,6 +276,7 @@ fit.SFORB_SFO.deSolve <- mkinfit(SFORB_SFO, FOCUS_2006_D, solution_type = "deSol
 # Use starting parameters from parent only SFORB fit (not really needed in this case)
 fit.SFORB = mkinfit(SFORB, FOCUS_2006_D)
 fit.SFORB_SFO <- mkinfit(SFORB_SFO, FOCUS_2006_D, parms.ini = fit.SFORB$bparms.ode)
+}
 
 \dontrun{
 # Weighted fits, including IRLS
@@ -309,7 +304,5 @@ f.w.man.irls <- mkinfit(SFO_SFO.ff, dw, err = "err.man",
                        reweight.method = "obs")
 summary(f.w.man.irls)
 }
-
 }
-\keyword{ models }
 \keyword{ optimize }