Hello, I am wanting to run a simulation study in R comparing several different bandwidth selection methods for data simulated from several different distribution types (normal, lognormal, bimodal, etc.) and wanted to know how to calculate the mean integrated square errors for the optimal smoothing parameter values. Does anyone have insight on this? Also, I believe in simulating this type of data and trying to solve for the optimal bandwidth parameter some type of grid search may be necessary, does anyone have any insight into this as well? Thanks for your consideration. -- View this message in context: http://r.789695.n4.nabble.com/Kernel-Density-Estimation-in-R-tp3784714p3784714.html Sent from the R help mailing list archive at Nabble.com.