Nice eye! In this case it's a no op and the function has no effect because I've used the `rowwise()` call such that the data frame is evaluated one row at a tim

Nice eye! In this case it's a no op and the function has no effect because I've used the `rowwise()` call such that the data frame is evaluated one row at a time x 1. The `prod` call is an artifact of me previously using the function in a vectorized manner to calculate the model's likelihood.[1] This isn't the common way one might see. More often one would work with the log likelihood [2]. The reason being that the product of the density can be converted into sums avoiding overflow errors. The likelihood is __very cool_. I liken it to a grand generalization of the needle of a record player wrt to information (entropy). [1] https://en.wikipedia.org/wiki/Maximum_likelihood_estimation#Principles https://en.wikipedia.org/wiki/Maximum_likelihood_estimation#... [2] https://en.wikipedia.org/wiki/Likelihood_function#Log-likelihood https://en.wikipedia.org/wiki/Likelihood_function#Log-likeli...