I just released a new package on CRAN. It’s called NPflow, it performs Dirichlet process mixture of multivariate normal, skew-normal or skew t-distributions modeling, you should check it out.
I was a little worried because the check from Travis CI was returning a NOTE. And even though the NOTEs seem like mild problems, “you should strive to eliminate all NOTEs” before submitting to CRAN !
Preparing for an email exchange with a member of the R core team, I wrote the following in the submission comments:
I am in the process of speeding up some code, and I have been lured by the promises of Rcpp. Since the functions I am working on are mainly linear algebra, I wanted to try out RcppArmadillo. This put my googling skills to a test as I spent (way) too much time trying to figure out errors until I found this post. Thank you James Balamuta ! Be warned RcppArmadillo, microbenchmarking is on !