Eridk,
See these Rcpp Gallery article from 2012 for worked examples:
- http://gallery.rcpp.org/articles/using-rmath-functions/
has an example on pnorm that applies to your dnorm case
- http://gallery.rcpp.org/articles/random-number-generation/
discusses the RNGs, but the d/p/q
Hello,
Functions in sugar only apply to vectors.
For a single value, you’d have to use the dnorm function in the R:: namespace:
// [[Rcpp::export]]
double test6(double x){
double y = R::dnorm(x,5.0,2.0,true);
return y;
}
> test6(3)
[1] -2.112086
> dnorm(3, mean = 5, sd = 2, log = TRUE)
Hi, I just tried to calculate the density of a normal variable using dnorm.
I found that if the input is of type NumericVector, then it was fine. But
if the input is of type double, it yielded error in compilation. For
example:
// [[Rcpp::export]]
NumericVector test5(NumericVector x)
{
NumericV
