Explore >> Select a destination
|
You are here 
|
swingleydev.com | ||
| | | | |
aosmith.rbind.io
|
|
| | | | | Where I discuss simulations, why I love them, and get started on a simulation series with a simple two-group linear model simulation. | |
| | | | |
juliasilge.com
|
|
| | | | | A data science blog | |
| | | | |
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. | |
| | | | |
dm13450.github.io
|
|
| | | In my previous article I showed how you can use the dirichletprocess package for non-parametric density estimation. This time I will demonstrate how you can use the package to create your own mixture models. The ease of creating your own mixture models is the main advantage of our dirichletprocess package compared to the others out there. By using the S3 class system in R, you can easily build your own Dirichlet process mixture of what ever distribution you want. | ||
