Dear list members
I need a function that calculates the bivariate normal distribution for each observation. It is part of a likelihood function and I have 1000's of cases. As I understand it I cannot use packages like "mvtnorm" because it requres a covariance matrix of the same dimension as the number of observations. Basically what I need is a function that takes as arguments a n*2 matrix of bivariate values given a common mean and covariance matrix, where n is the number of cases and which returns a n*1 vector of the probabilities of the bivariate normal distribution of the n*2 vector of values. all the best Anders Holm Department of Education Aarhus University [[alternative HTML version deleted]] ______________________________________________ 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.