JOSS Papers: causal inference

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2188
 Published Papers
1956
 Active Papers
232
published Published about 1 month ago

CVtreeMLE: Efficient Estimation of Mixed Exposures using Data Adaptive Decision Trees and Cross-Validated Targeted Maximum Likelihood Estimation in R

R
@blind-contours
10.21105/joss.04181
published Published 6 months ago

haldensify: Highly adaptive lasso conditional density estimation in R

R
@nhejazi
10.21105/joss.04522
published Published 7 months ago

tipr: An R package for sensitivity analyses for unmeasured confounders

R
@LucyMcGowan
10.21105/joss.04495
published Published 8 months ago

GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference

Python
@max-little
10.21105/joss.04534
published Published about 1 year ago

medoutcon: Nonparametric efficient causal mediation analysis with machine learning in R

R
@nhejazi
10.21105/joss.03979
published Published over 2 years ago

txshift: Efficient estimation of the causal effects of stochastic interventions in R

R
@nhejazi
10.21105/joss.02447
published Published over 2 years ago

hal9001: Scalable highly adaptive lasso regression in R

R C++
@nhejazi
10.21105/joss.02526
published Published over 2 years ago

causal-curve: A Python Causal Inference Package to Estimate Causal Dose-Response Curves

Python
@ronikobrosly
10.21105/joss.02523
published Published almost 3 years ago

policytree: Policy learning via doubly robust empirical welfare maximization over trees

R C++
@erikcs
10.21105/joss.02232
published Published over 5 years ago

biotmle: Targeted Learning for Biomarker Discovery

R
@nhejazi
10.21105/joss.00295
Displaying all 10 papers

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