From 556598ba543cf655cdc0a6995cc579327f9540ad Mon Sep 17 00:00:00 2001
From: Johannes Ranke
install.packages("mkin")
-If looking for the latest features, you can install directly from
-github, e.g. using the devtools
package.
-Using quick = TRUE
skips docs, multiple-architecture builds, demos, and
-vignettes, to make installation as fast and painless as possible.
require(devtools)
-install_github("jranke/mkin", quick = TRUE)
-
-
In the regulatory evaluation of chemical substances like plant protection @@ -108,7 +99,7 @@ reversible binding (SFORB) model, which will automatically create two latent state variables for the observed variable.
plot.mmkin
plot.mmkin
.
mkinpredict
is performed either using the analytical solution for the case of
@@ -121,10 +112,6 @@ generated C code, seeccSolve
package. Thanks
to Karline Soetaert for her work on that.mkinfit
-internally using the modFit
function from the FME
package,
-but using the Port routine nlminb
per default.transform_odeparms
@@ -152,9 +139,7 @@ as in KinGUII and CAKE (see below). Simply add the argument
componenent for each of the observed variables will be optimised
in a second stage after the primary optimisation algorithm has converged.mkin
would not be possible without the underlying software stack consisting
-of R and the packages deSolve,
-minpack.lm and
-FME, to say the least.
It could not have been written without me being introduced to regulatory fate modelling of pesticides by Adrian Gurney during my time at Harlan Laboratories @@ -187,7 +171,7 @@ as detailed in their guidance document from 2006, slightly updated in 2011 and BayerCropScience, which is based on the MatLab runtime environment.
The companion package -kinfit was +kinfit (now deprecated) was started in 2008 and first published on CRAN on 01 May 2010.
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