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...unctions mgffoo() to compute the moment (or cumulant if 'log = TRUE') generating function of the following distributions: chi-square, exponential, gamma, inverse gaussian (from package SuppDists), inverse gamma, normal, uniform and phase-type (see below). o Functions mfoo() to compute the raw moments of all the probability distributions supported in the package and the following of base R: chi-square, exponential, gamma, inverse gaussian (from package SuppDists), inverse gamma, normal, uniform. o Functions {d,p,mgf,m,r}phtype() to compute the prob...

...unctions mgffoo() to compute the moment (or cumulant if 'log = TRUE') generating function of the following distributions: chi-square, exponential, gamma, inverse gaussian (from package SuppDists), inverse gamma, normal, uniform and phase-type (see below). o Functions mfoo() to compute the raw moments of all the probability distributions supported in the package and the following of base R: chi-square, exponential, gamma, inverse gaussian (from package SuppDists), inverse gamma, normal, uniform. o Functions {d,p,mgf,m,r}phtype() to compute the prob...

Thanks Martin and Peter, I agree that we can be careful and narrow and still see a nice improvement in behavior. While Herve's point is valid and I understand his frustration, I think staying within the matrix vs c(matrix, array) space is the right scope for this work in terms of fiddling with inheritance. As another point, I don't know off the top of my head of any other classes which