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💪 Models' quality and performance metrics (R2, ICC, LOO, AIC, BF, ...)
Generate R package documentation from inline R comments
👻 Utilities for analyzing Bayesian models and posterior distributions
Classes and functions to create and summarize resampling objects
R package to create "Table 1", description of baseline characteristics with or without propensity score weighting
WeightIt: an R package for propensity score weighting
Causal Inference using Bayesian Additive Regression Trees
Contextual Bandits in R - simulation and evaluation of Multi-Armed Bandit Policies
iterative Random Forests (iRF): iteratively grows weighted random forests, finds interaction among features
Code to run submissions for the Atlantic Causal Inference Competition
An updated version of qwraps with a focus on flexibility and general purpose. These functions are helpful for extracting and formatting results from R into .Rnw or .Rmd files. Additional functions …
Connect R to MOA for massive online data stream mining
❗ This is a read-only mirror of the CRAN R package repository. pcalg — Methods for Graphical Models and Causal Inference. Homepage: https://pcalg.r-forge.r-project.org/
R package cross-validation, bootstrap, permutation, and rolling window resampling techniques for the tidyverse.
Implemention of the multiway bootstrap (including the Pigeonhole bootstrap, reweighting tensor bootstrap). Reweights observations with the product of weights for the units that observation is of (e…
R-package: Methods for dividing data into groups. Create balanced partitions and cross-validation folds. Perform time series windowing and general grouping and splitting of data. Balance existing g…
Nonparametric estimators of the average treatment effect with doubly-robust confidence intervals and hypothesis tests