|
You are here |
py-econometrics.github.io | ||
| | | | |
juliasilge.com
|
|
| | | | | A data science blog | |
| | | | |
bambinos.github.io
|
|
| | | | | ||
| | | | |
kgoldfeld.github.io
|
|
| | | | | Simulates data sets in order to explore modeling techniques or better understand data generating processes. The user specifies a set of relationships between covariates, and generates data based on these specifications. The final data sets can represent data from randomized control trials, repeated measure (longitudinal) designs, and cluster randomized trials. Missingness can be generated using various mechanisms (MCAR, MAR, NMAR). | |
| | | | |
www.robertkubinec.com
|
|
| | | Ordered beta regression can give you comparable, scale-free ATEs that can still be understood in the scale of the original data-all without using logs. | ||