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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 /vignettes/compiled_models.Rmd
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 'vignettes/compiled_models.Rmd')
-rw-r--r--vignettes/compiled_models.Rmd12
1 files changed, 5 insertions, 7 deletions
diff --git a/vignettes/compiled_models.Rmd b/vignettes/compiled_models.Rmd
index bac284c5..5d83cf3a 100644
--- a/vignettes/compiled_models.Rmd
+++ b/vignettes/compiled_models.Rmd
@@ -15,16 +15,14 @@ output:
```{r, include = FALSE}
library(knitr)
opts_chunk$set(tidy = FALSE, cache = TRUE)
-if (!require("ccSolve"))
- message("Please install the ccSolve package for this vignette to produce sensible output")
-
```
# Benchmark for a model that can also be solved with Eigenvalues
This evaluation is taken from the example section of mkinfit. When using an mkin version
-greater than 0.9-36 and the ccSolve package is installed and functional, you will get a
-message that the model is being compiled when defining a model using mkinmod.
+equal to or greater than 0.9-36 and a compiler (gcc) is installed, you will see
+a message that the model is being compiled from autogenerated C code when
+defining a model using mkinmod.
```{r create_SFO_SFO}
library("mkin")
@@ -83,5 +81,5 @@ smb.2["median"]/smb.2["deSolve, compiled", "median"]
```
-Here we get a performance benefit of more than a factor of 8 using the version
-of the differential equation model compiled from C code using the ccSolve package!
+Here we get a performance benefit of more than a factor of 10 using the version
+of the differential equation model compiled from C code using the inline package!

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