Dear all, I have a question about how the function "cm" works? It can be found under the package actuar. In particular, I want to use it to apply the Buhlmann-Straub model into some data.
I am using the example that R has in the help page for cm. I use the dataset hachemeister and then the code: fit<-cm(~state, hachemeister, ratios = ratio.1:ratio.12, weights = weight.1:weight.12) predict(fit) summary(fit) However before knowing the existence of this build-in function I have wrote my own function, based on an example from a book (I get the same results as the book) but I dont get the same results as when using the cm function! Does anybody know how this function works? For example, how does it produce the weights for the next period? is it random data? Thank you in advance!! Chris -- View this message in context: http://r.789695.n4.nabble.com/How-does-the-cm-function-under-package-actuar-works-tp4639742.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
