R packages

Here I upload R packages and code. For R packages click on the link and scroll down to see a description.

R packages

• ML: simple to use package to estimate Lasso, Ridge, Random Forest (RF), Conditional Inference Forest (CIF), Extreme Gradient Boosting (XGB), Catboosting (CB) and a SuperLearner combining all of these learners.

• ineqopp: the goal of ineqopp is to provide estimates and tests for Inequality of Opportunity (IOp) using several methods. Debiased IOp estimates can be computed using any Machine Learner among: Lasso, Ridge, Random Forest, Conditional Inferest Forest, Extreme Gradient Boosting, Catboosting or some combination of these five machine learners. Plug in estimates can also be computed estimating the fitted values with a log linear regression, non-parametrically (for discrete circumstances) or with any of the aforementioned machine learners. Debiased partial effects can also be computed. The package includes a survey with income and circumstances for Madrid in 2018 (from Encuesta de Condiciones de vida (ECV) 2019).