Hello, I have been googling for 2 days and I cannot find the answer in previous posts.
I have a set of d-dimensional data elements (d=11 .. 14), each data point can be censored at different values both Lower-limit and upper limit. N = 2000 sets of vectors of D=11 data points per vector. Each of the N*D points can have different upper and lower limits. I "simply" want to fit a Multivariate distribution to the data and get the mean and covariance matrix of the sample. The closest post I saw mentionned the function survreg in the survival5 package, but I can't figure out how To use it for a non-regression model. Thanks, Hugues [[alternative HTML version deleted]] ______________________________________________ R-help@stat.math.ethz.ch 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.