Sebastian Krantz

## Contributed Cheat Sheet Information Cheat Sheet Name: 1 sentence description of the contents: Your Name (as you want to be credited on the website): A link to your github/website...

dfms: Efficient Estimation of Dynamic Factor Models for R

60

Submitting Author Name: Sebastian Krantz Submitting Author Github Handle: @SebKrantz Other Package Authors Github handles: @rbagd Repository: https://github.com/SebKrantz/dfms Version submitted: 0.1.2 Submission type: Stats Badge grade: bronze Editor: @noamross Reviewers:...

Curl Header Overflow for Large Distance Matrices

3

Hello, thanks for a great package! I am running OSRM on my own server and want to compute a 12,000 x 12,000 distance matrix. I get the following error from...

Issue on page /22-Debiased-Orthogonal-Machine-Learning.html

1

I fail to understand why in the section "Non-Scientific Double/Debiased ML" it is necessary to save the first stage models and predict with them. In adding counterfactual treatments, we are...

Thanks for creating a great resource! The suggested pseudo outcome for the continuous treatment case is ``` y* = (y-y_pred)*(t-t_pred) / (t-t_pred)^2 = (y-y_pred) / (t-t_pred) ``` So it is...

Hi Tyson, I have been playing around a bit with your package. I like that for the most part it works fine and that it really only depends on data.table...

``` r library(collapse) library(fixest) # This creates a lag-matrix of a logical variable with(mtcars, L(as.logical(vs), 1:2)) #> L1 L2 #> [1,] NA NA #> [2,] FALSE NA #> [3,] FALSE...