nt-williams

mlr3

mlr3: Machine Learning in R - next generation

glue

Glue strings to data in R. Small, fast, dependency free interpreted string literals.

kableExtra

Construct Complex Table with knitr::kable() + pipe.

DataFramesMeta.jl

Metaprogramming tools for DataFrames

S7

S7: a new OO system for R

slider

Sliding Window Functions

import

An Import Mechanism For R

augsynth

Augmented Synthetic Control Method

devcontainers-rstudio

Zero-setup R workshops with GitHub Codespaces

rix

Reproducible development environments for R with Nix

AlignAssign

Align the assignment operators within a highlighted area.

cobalt

Covariate Balance Tables and Plots - An R package for assessing covariate balance

roxyglobals

Generate utils::globalVariables() from roxygen tags

ggokabeito

Colorblind-friendly, qualitative Okabe-Ito Scales for ggplot2 and ggraph

portal

move data between R processes

Rapp

Build CLI applications in R

steroids-trial-emulation

Tutorial for a target trial emulation with a time-varying exposure, time-dependent confounding, time-to-event outcome, and Sequentially Doubly Robust estimation (Hoffman et al. 2022).

aoc

usethis-like functions for completing Advent of Code as an R package

mlr3filters

Filter-based feature selection for mlr3

AdventOfCode2021.jl

Advent of Code 2021 in Julia

TMLE.jl

A pure Julia implementation of the Targeted Minimum Loss-based Estimation

mvGPS

Tools for estimating causal effects for multivariate continuous exposures

lcmmtp

Longitudinal Mediation with Modified Treatment Policies

SuperNOVA

:dizzy: :dart: Automatic identification of variable and interaction importance using basis functions and non-parametric estimation of interactions/effect modification using joint stochastic interventions.

codebreak

A light weight codebook framework for R

imtp

:package: Incremental propensity score interventions as described in Nonparametric Causal Effects Based on Incremental Propensity Score Interventions (Kennedy, 2019)

mlr3superlearner

Super learner fitting and prediction using mlr3

lida-comprisks

Code and synthetic data for the illustrative application of "Causal survival analysis under competing risks using longitudinal modified treatment policies" (Diaz, Hoffman, Hejazi 2022).

aoc2021

recantingtwins

Mediation Analysis With Intermediate Confounding