diff options
Diffstat (limited to 'man')
| -rw-r--r-- | man/mkinfit.Rd | 19 | ||||
| -rw-r--r-- | man/synthetic_data_for_UBA.Rd | 2 | ||||
| -rw-r--r-- | man/transform_odeparms.Rd | 2 |
3 files changed, 10 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$bparms.ode) +} \dontrun{ # Weighted fits, including IRLS @@ -309,7 +304,5 @@ f.w.man.irls <- mkinfit(SFO_SFO.ff, dw, err = "err.man", reweight.method = "obs") summary(f.w.man.irls) } - } -\keyword{ models } \keyword{ optimize } diff --git a/man/synthetic_data_for_UBA.Rd b/man/synthetic_data_for_UBA.Rd index 5d924afd..468e3731 100644 --- a/man/synthetic_data_for_UBA.Rd +++ b/man/synthetic_data_for_UBA.Rd @@ -41,6 +41,7 @@ measurement error in analytical chemistry. Technometrics 37(2), 176-184.
}
\examples{
+\dontrun{
m_synth_SFO_lin <- mkinmod(parent = list(type = "SFO", to = "M1"),
M1 = list(type = "SFO", to = "M2"),
M2 = list(type = "SFO"), use_of_ff = "max")
@@ -62,4 +63,5 @@ m_synth_DFOP_par <- mkinmod(parent = list(type = "DFOP", to = c("M1", "M2"), mkinfit(m_synth_SFO_lin, synthetic_data_for_UBA_2014[[1]]$data)
}
+}
\keyword{datasets}
diff --git a/man/transform_odeparms.Rd b/man/transform_odeparms.Rd index ba93af7d..1385a896 100644 --- a/man/transform_odeparms.Rd +++ b/man/transform_odeparms.Rd @@ -76,6 +76,7 @@ names(transformed) <- rownames(fit$start_transformed) transform_odeparms(initials, SFO_SFO) backtransform_odeparms(transformed, SFO_SFO) +\dontrun{ # The case of formation fractions SFO_SFO.ff <- mkinmod( parent = list(type = "SFO", to = "m1", sink = TRUE), @@ -98,4 +99,5 @@ SFO_SFO.ff.2 <- mkinmod( fit.ff.2 <- mkinfit(SFO_SFO.ff.2, FOCUS_2006_D) summary(fit.ff.2, data = FALSE) } +} \keyword{ manip } |