# multiple change point analysis simultaneously for mean AND variance WITHOUT distribution assumption in R [closed]

Is there a multiple change point analysis for both the mean and the variance simultaneously, implemented in R without a distribution assumption? I know the changepoint packet http://cran.r-project.org/web/packages/changepoint/index.html but as far as I see, it only allows change point analysis (mean & variance simultaneously) with distribution assumptions (normal, exponential, gamma).

There is also the ecp package which does more general nonparametric distributional changes and even allows for multivariate data:
For those looking at this thread there is now also the changepoint.np package for R (available on CRAN) which contains a method for a change in distribution and is currently being revamped with more specific robust changepoint methods.