Search:

Thanks Bill and edina for listening to my spiel. I'm done for now, hopping off of the soapbox.

If anyone has questions, please let me know! No dumb questions, I'll try to answer anything...

It's time to finish it. First, we'll need some helper functions:


sum_log_cosh <- function(m) {
sum(log(cosh(m$residuals)))
}

gasinh <- function(x, xi = 0, lambda = 1) {
asinh((x -...

We're close to finishing, but we have to address another little tidbit first. How does the Johnson Su actually work? Let's take a look at its CDF:


pjohnson <- function(q, gamma = 0, delta = 1,...

Alright, joint normalization it is. But what is it?

It's simply the process of applying normalization to 2 or more variables at the same time. Why do that? To linearize a model prediction! For two...

Slight detour, just for fun.

Want to know what a linear model is? At least for two variables, it's actually really simple and plenty interesting (I still chew on how simple yet unintuitive this...

Let's knock this out. Fitting the Johnson Su to our `dist` variable.

The good news? It's the exact same process as the above, we'll get a rough estimate of the parameters and then refine it:

...

Okay. Before we get too far into this project, we have to learn about numerical optimization. This is a huge topic, in part born out of a much forgotten but brilliant interdisciplinary field called...

Oi!

I've noticed that the forum has plenty of threads for reacting to content (X, Rumble, and YouTube) and relating over discussion topics, but I was surprised to find only a few threads devoted...