Reputation: 591
I have a user defined function in r:
blacksch<-function(s_0,k,sigma,r,t)
{
d1=(log(s_0/k) + (r + (sigma^2)/2)*(t))/(sigma*sqrt(t))
d2=(log(s_0/k) + (r - (sigma^2)/2)*(t))/(sigma*sqrt(t))
p=(pnorm(-d2)*k*exp(-r*t))-pnorm(-d1)*s_0
}
And I would like to use this function in c++ code that I have written using Rcpp and cppFunction. I have been through the documentation and examples a few times, but have not been successful.
bs_martin<-cppFunction('NumericMatrix compMartin (NumericMatrix st, NumericMatrix dv, double s_0, double k,
double t, double sigma, double r, int steps, int paths, Function blacksch(fun)) {
// Ensure RNG scope set
RNGScope scope;
int min_bs_step=0;
double minbsvalue=0;
vector<double> u[0]=100.0;
for(int i=1;i<=paths; i++)
{
min_bs_step=0;
for(int j=1;j<=steps;j++)
{
if (dv[i,j]>0 && min_bs_step==0)
{
min_bs_step=i;
minbsvalue=blacksch(s_0,k,sigma,r,t);
}
else if (min_bs_step!=0)
{
dv[i,j]=1 - minbsvalue;
}
}
}
return dv;
}')
Upvotes: 2
Views: 887
Reputation: 368241
I would suggest the following:
Study our documentation and examples. We show how to pass functions around too, even if we do not recommend it (for obvious performance reason, calling R from C++ ain't speedy).
If you somewhat complex example does not work, try a smaller one. At the end of the day you may just want a tester which receives two numbers and passes those to a supplied function.
And lastly: You really want blacksch
in C++ too. All the statistical functions are available under the same names.
Upvotes: 1