JOSS Papers: causal inference

All Papers
2442
 Published Papers
2176
 Active Papers
266
published Published 3 months ago

tehtuner: An R package to fit and tune models for the conditional average treatment effect

R
@jackmwolf
10.21105/joss.05453
published Published 7 months 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 about 1 year ago

haldensify: Highly adaptive lasso conditional density estimation in R

R
@nhejazi
10.21105/joss.04522
published Published about 1 year ago

tipr: An R package for sensitivity analyses for unmeasured confounders

R
@LucyMcGowan
10.21105/joss.04495
published Published about 1 year ago

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

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

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

R
@nhejazi
10.21105/joss.03979
published Published almost 3 years ago

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

R
@nhejazi
10.21105/joss.02447
published Published about 3 years ago

hal9001: Scalable highly adaptive lasso regression in R

R C++
@nhejazi
10.21105/joss.02526
published Published about 3 years ago

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

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

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

R C++
@erikcs
10.21105/joss.02232
Displaying papers 1 - 10 of 11 in total

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ISSN 2475-9066