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amortization

catevariancejci

For the recent submission to JCI

cdr-sb

alzheimer sims

copynumber

gentmle

halplus

Nonparametric regression and prediction using the highly adaptive lasso algorithm

haltmle.sim

network

fitting for networks

pftnew

rctevents

figuring out EFT given various parameters

sdetransport

transporting stochastic direct and indirecteffect parameters as well as doing them non-transported

sdetransportsim

simulations for transporting parameter SDE to new site

sim.papers

Simuations for stratum specific treatment effect variance, controlling noise on true regressions

simulations

Tools for simulations: Logistic Regression plug-in estimator delta method inference, randomly drawn data generating systems

sl3

New version of SuperLearner

stremr

Streamlined Estimation for Static, Dynamic and Stochastic Treatment Regimes in Longitudinal Data

superlearner

Current version of the SuperLearner R package

tecdf

Peforms TMLE estimation from initial estimates for the Treatment Effect CDF

tecdfsim

simulations for blipCDF parameters

tefitter

learners to pick up interactions

tlverse-handbook

🎯 :closed_book: Targeted Learning in R: Causal Data Science with the tlverse

tmb

tmle.npvi

R package tmle.npvi

tmle3

tmle3

tmle3kernel

TMLE Kernel Methods for Non-Pathwise-Differenetiable Parameters

tstmle01

R/tstmle01: Estimation and Inference for Causal Effects with Single Binary Time Series