grf-labs / maq
Qini curves for multi-armed treatment rules
☆11Updated 2 months ago
Alternatives and similar repositories for maq:
Users that are interested in maq are comparing it to the libraries listed below
- orf: R package☆12Updated 2 years ago
- An R package for tidyverse-friendly causal inference☆10Updated 5 years ago
- Install Workshop Materials for Causal Inference in R☆20Updated 5 months ago
- Fast and lightweight R6 parameter interface☆12Updated 2 years ago
- Spatial Seemingly Unrelated Regressions☆11Updated 2 years ago
- An R-package to build nesting or hierarchical structures☆13Updated 2 years ago
- causalweight: An R Package for Causal Inference and Mediation Analysis☆11Updated 5 years ago
- How to use EconML within R☆10Updated 5 years ago
- Magical string interpolation☆15Updated 5 months ago
- Machine learning explanations☆22Updated 5 months ago
- Fast Wild Cluster Bootstrap Inference for Regression Models / OLS in R. Additionally, R port to WildBootTests.jl via the JuliaConnectoR.☆24Updated 5 months ago
- ☆9Updated 8 years ago
- R6 object-oriented interface for mathematical sets.☆14Updated last year
- A paper about causal inference with Bayesian modeling☆15Updated 4 years ago
- ☆14Updated last year
- Quickly Extract and Marginalize U.S. Census Tables☆15Updated last year
- homework problems from the 2nd edition of Statistical Rethinking by Richard McElreath worked in R-INLA☆24Updated 3 years ago
- See pacha.dev/capybara for a much better GLM implementation. Efficient Fitting of Linear and Generalized Linear Models by using just base…☆19Updated 5 months ago
- Error Handling Made Easy☆25Updated 3 months ago
- Rcpp Bindings to FastAD Automatic Differentiation☆10Updated 3 months ago
- ☆27Updated 5 months ago
- Tidymodels for Nested/Panel Data☆12Updated last year
- Demonstration of alternatives to lme4☆13Updated 5 years ago
- lmw: Linear Model Weights☆11Updated 11 months ago
- An R-package to create experiments that require sample size calculation☆10Updated 3 years ago
- ☆16Updated last month
- Combining drake workflows with R package development to train and execute a machine learning model☆14Updated 4 years ago
- Material from "Random Forests and Gradient Boosting Machines in R" presented at Machine Learning Day '18☆16Updated 6 years ago
- Every big regression is a small regression with weights.☆17Updated 2 months ago
- Techniques to Build Better Balance in Propensity Score Models☆16Updated this week