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
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