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#' deSolve.lsoda.wrapper
#'
#' The function serves as a wrapper for lsoda using a much simpler interface
#' which allows the use of matrices in the definition of the derivative. To
#' use lsoda we have to convert our vectors to lists, define tolerances and so
#' on. This function does this for us , so we don't need to bother about it.
#'
#'
#' @param t A row vector containing the points in time where the solution is
#' sought.
#' @param ydot The function of y and t that computes the derivative for a given
#' point in time and a column vector y.
#' @param startValues A column vector with the starting values.
#' @return A matrix. Every column represents a pool and every row a point in
#' time
deSolve.lsoda.wrapper=function(
t,
ydot,
startValues
){
parms=NULL
lsexamp <- function(t, y,parms){
yv=cbind(y)
YD=ydot(y,t)
yd=as.vector(YD)
list(yd)
}
out <- lsoda(startValues,t,lsexamp)
n=length(startValues)
if (n==1) { Yt=matrix(ncol=n,out[,-1])}
else {Yt=out[,-1]}
tn=length(t)
Y=matrix(ncol=n,nrow=length(t))
for (i in 1:n){
Y[,i]=Yt[,i]
}
return(Y)
}
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