David J. Harris
David J. Harris
This burned me a few months back. ``` r f = function(x){ x } f() # Throws error: x is missing g = function(x){ letters[x] } g(1) # Returns the...
As I understand it, the warning p_waic > 0.4 is there to highlight when the model is over-parameterized, in the sense of approaching one degree of freedom per data point....
This looks like a great package. It's saving me and my collaborators a lot of unnecessary computation time. I was wondering about how the package would perform if a memoized...
Hi Carl, hope you're having a great quarter. I was looking into some GP stuff for my own research and stumbled on the `chol2inv` function in base R. I haven't...
Simpler than annealed importance sampling, might be good enough.
Will be important if there are species that are never observed in the training set but we don't their occurrence probability in the test set to be zero.
Sample code: ``` metropolisStep = function(object, y, proposal.scale = 1/4){ # One Metropolis step for random effects # One independent chain per row of data. # Only use the first...