I am performing a canonial variates analysis (i.e., a linear discriminant analysis with 3 or more categories) using the
lda() funtion in the
MASS package in R. I had been reporting the likelihood of a particular observation pertaining to a particular category as a posterior probability, but my supervisor said they would like the conditional probability to be included as well similar to some of their previous work. When I asked how they did it, they said that used JMP or SPSS and it just automatically returned the values for them.
I do not have access to either of these programs, and trying to export the dataset and re-running the CVA (which is analyzed beforehand in R and those results are what go into the CVA) seems counterintuitive. I was wondering if there was any way to calculate conditional probability for a canonical variates analysis in
R, preferably a method that can be applied to the
MASS package. I looked around online and on StackOverflow and I couldn't find anything about calculating conditional probabilities in