Since last year, I started to use connectome predictive modeling method to analyze my functional connectivity data, though proposed by my advisor. I found it is a very useful method to predict individual phenotypes from functional connectivity data. Since I am now a heavy R user, I would like to use R to do the analysis. I found NetworkToolbox on CRAN, but the codes there are not so efficient. So I decided to write my own R package for CPM. The package is still under development, but I have already uploaded it to GitHub. You can find it here. Though the performance cannot keep up with the MATLAB version, it is still much faster than the codes in NetworkToolbox. I will keep updating it. If you have any suggestions, please let me know. Thanks!