Hi, I want to run a quantile regression (Y=a+bX+e) using normal and t copula for my dissertation.
I 've read the documentation of "copula" and "copBasic". However, I still have difficulty to deal with my data. Details are as following: I've already loaded xls data into r using "XLConnect" package. excel.file<-file.path("Q:/dailyvstoxx.xls") dailyvstoxx<-readWorksheetFromFile(excel.file, sheet=1) Then, I've loaded "copBasic"package. According to the example 'qua.regressCOP' in the documentation "copBasic": theta <- 10 R <- qua.regressCOP(cop=PLACKETTcop, para=c(theta)) I have two questions: 1) how to solve out the 'theta' of my data 2)I want to use normal copula, so I try: R<- qua.regressCOP(cop=NORMALcop, para=c(theta)) However, I get: Error in derCOP(cop = cop, u = u, v = x, delu = delu, para = para, ...) : object 'NORMALcop' not found I wonder what is the code for normal copula and t copula in copBasic. I am looking forward to your reply. Yours, Tong -- View this message in context: http://r.789695.n4.nabble.com/how-to-run-copula-based-quantile-regression-tp4669984.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.