📊 Computation and processing of models' parameters

Tidy data frames and expressions with statistical summaries 📜

📦 Non-parametric Causal Effects Based on Modified Treatment Policies 🔮

Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted machine-learning

Robust estimations from distribution structures: Mean.

Robust estimations from distribution structures: Invariant moments.

Companion package to the 2nd edition of the book "Robust Statistics: Theory and Methods"

📦 R/txshift: Efficient Estimation of the Causal Effects of Stochastic Interventions, with Corrections for Outcome-Dependent Sampling

Doubly-Robust and Efficient Estimators for Survival and Ordinal Outcomes in RCTs Without Proportional Hazards or Odds Assumptions 💊

Robust estimations from distribution structures: Central moments.

Robust Sure Independence Screening using the Minimum Density Power Divergence Estimators

🌳 🎯 Cross Validated Decision Trees with Targeted Maximum Likelihood Estimation

A robust deterministic affine-equivariant algorithm for multivariate location and scatter

The ConfidenceEllipse package provides functions for computing the coordinate points of confidence ellipses and ellipsoids for a given bivariate and trivariate dataset, at user-defined confidence level.

An Econometric Analysis of North Carolina Crime Data from 1987

Clustering algorithms, validations and interpretations with some robust statistic advanced topics. Real case applications. My R scripts to solve some university exams ;) - Work in progress

Simple multiverse analysis simulations, visualizations and inference techniques.

This is a fork of cran/MASS with a modified rlm function that can handle complex valued data.

An R package containing tools for linear fitting of complex variables. Includes ordinary least squares and M-estimator robust functions.

This is an R package I developed to estimate the causal effect of an exposure on an outcome when there's invalid instruments and large proportions of contamination.