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authorJohannes Ranke <jranke@uni-bremen.de>2015-06-20 01:06:24 +0200
committerJohannes Ranke <jranke@uni-bremen.de>2015-06-20 03:59:56 +0200
commit062b9cc1d084e8bb5e552076fc48ade4b3050644 (patch)
treebfb8acaf64fbbefbd7423cf6d0cfdb5119120a26 /man
parent6281424beafe531c9891670c3227ab12e9a21990 (diff)
Low-level generation of compiled models
As it is unclear if and when ccSolve will be published on CRAN, the generation, compilation and use of the C version of the system of differential equations was developed for mkin, inspired and guided by the code from the ccSolve package. Many thanks again to Karline Soetaert for all of her work on this and other R packages. Now all model types, including the Hockey-Stick model for the parent compund and the IORE model for parent and/or metabolites can be compiled.
Diffstat (limited to 'man')
-rw-r--r--man/IORE.solution.Rd4
-rw-r--r--man/mkinfit.Rd2
2 files changed, 3 insertions, 3 deletions
diff --git a/man/IORE.solution.Rd b/man/IORE.solution.Rd
index 3d827bdc..bb377d3f 100644
--- a/man/IORE.solution.Rd
+++ b/man/IORE.solution.Rd
@@ -7,12 +7,12 @@
a concentration dependent rate constant.
}
\usage{
- IORE.solution(t, parent.0, k.iore, N)
+ IORE.solution(t, parent.0, k__iore, N)
}
\arguments{
\item{t}{ Time. }
\item{parent.0}{ Starting value for the response variable at time zero. }
- \item{k.iore}{ Rate constant. Note that this depends on the concentration units used. }
+ \item{k__iore}{ Rate constant. Note that this depends on the concentration units used. }
\item{N}{ Exponent describing the nonlinearity of the rate equation }
}
\note{
diff --git a/man/mkinfit.Rd b/man/mkinfit.Rd
index b4923ddd..bf47879c 100644
--- a/man/mkinfit.Rd
+++ b/man/mkinfit.Rd
@@ -247,7 +247,7 @@ print(system.time(fit <- mkinfit(SFO_SFO, FOCUS_2006_D,
coef(fit)
endpoints(fit)
\dontrun{
-# deSolve is slower when ccSolve is not installed and set up
+# deSolve is slower when the gcc compiler is not available
print(system.time(fit.deSolve <- mkinfit(SFO_SFO, FOCUS_2006_D,
solution_type = "deSolve")))
coef(fit.deSolve)

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