Statistical Inference for Random Forests
☆19Mar 11, 2019Updated 6 years ago
Alternatives and similar repositories for surfin
Users that are interested in surfin are comparing it to the libraries listed below
Sorting:
- "Exploratory Data Analysis using Random Forests"☆18Feb 12, 2016Updated 10 years ago
- interplot: plotting interactive effects☆17Mar 1, 2024Updated 2 years ago
- ☆18Feb 6, 2016Updated 10 years ago
- Course Materials for Introduction to Machine Learning, Rex W. Douglass 2018☆19Jul 20, 2018Updated 7 years ago
- Heterogeneous effects analysis of conjoint experiments using BART☆10Sep 6, 2023Updated 2 years ago
- A sensitivity analysis package for causal effects☆12Mar 18, 2024Updated last year
- Geared simulations: Easy computations over posterior simulations☆12Sep 28, 2015Updated 10 years ago
- A R package for multi-dimensional data visualization☆11Jul 15, 2025Updated 7 months ago
- ☆10Nov 30, 2022Updated 3 years ago
- Estimate Permutation p-Values for Random Forest Importance Metrics☆28Mar 25, 2025Updated 11 months ago
- LIME-like explanations with interpretable features based on Ceteris Paribus curves. Now on CRAN.☆14Sep 19, 2021Updated 4 years ago
- 🎯 💯 Targeted Learning and Variable Importance for the Causal Effect of an Optimal Individualized Treatment Intervention☆13Aug 6, 2022Updated 3 years ago
- Package to standardize country names and set Correlate of War IDs☆12Mar 7, 2023Updated 2 years ago
- Variable importance via oscillations☆14Sep 26, 2020Updated 5 years ago
- A Tidy Interface for Simulating Multivariate Data☆12Aug 27, 2023Updated 2 years ago
- An R package for estimating controlled direct effects.☆19Feb 25, 2025Updated last year
- R port of figlet☆17Feb 8, 2021Updated 5 years ago
- Archive of plain-text versions of US National Security Strategy documents.☆12Mar 30, 2017Updated 8 years ago
- The R code and datasets for the paper "Random Forest Prediction Intervals"☆15Oct 22, 2018Updated 7 years ago
- [DEPRECATED] An R package to rapidly build and deploy supervised machine learning workflows☆16Jul 25, 2019Updated 6 years ago
- Material from "Random Forests and Gradient Boosting Machines in R" presented at Machine Learning Day '18☆15Sep 15, 2018Updated 7 years ago
- Production and Consumption of APSR, BJPS, Perspectives, PS, and World Politics Articles☆14Jun 12, 2023Updated 2 years ago
- Extract raw R code directly from webpages, including Github, Kaggle, Stack Overflow, and sites made using Blogdown.☆15Oct 18, 2021Updated 4 years ago
- CRAN R package: Impute missing values based on automated variable selection☆16Jul 21, 2021Updated 4 years ago
- Notes on public version control for political scientists.☆45Jul 30, 2018Updated 7 years ago
- missCompare R package - intuitive missing data imputation framework☆39Dec 2, 2020Updated 5 years ago
- Sample a file by line; quickly read a subsample of observations from a large csv file.☆21Feb 22, 2020Updated 6 years ago
- An R package extends R to process tera-scale datasets in parallel and out of core automatically.☆17Aug 16, 2017Updated 8 years ago
- SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data☆20Oct 25, 2021Updated 4 years ago
- Feature Extraction from Grouped Data. Tutorial:☆23Jun 5, 2020Updated 5 years ago
- Sorted L1 Penalized Estimation☆19Updated this week
- Autograph R for TensorFlow☆18May 16, 2023Updated 2 years ago
- This package is DEPRECATED. Please use the packages `grf` or `ranger` instead, which have built-in confidence intervals.☆70Dec 12, 2017Updated 8 years ago
- Package: R Interface to AutoKeras☆74Jan 16, 2021Updated 5 years ago
- Filter-based feature selection for mlr3☆20Sep 12, 2025Updated 5 months ago
- Matching on generalized propensity scores with continuous exposures☆26Jan 12, 2026Updated last month
- An R package for interpretable machine learning. R.ROSETTA uses ROSETTA toolkit that supports data mining and knowledge discovery based o…☆21Jan 27, 2026Updated last month
- Black-box optimization framework for R.☆26Updated this week
- Introduction to snapshot (aka golden) testing (in R)☆22Updated this week