JOSS Papers: causality

All Papers
3348
 Published Papers
2952
 Active Papers
396
published Published over 2 years ago

Frites: A Python package for functional connectivity analysis and group-level statistics of neurophysiological data

Python
@EtienneCmb
10.21105/joss.03842
published Published over 2 years ago

haldensify: Highly adaptive lasso conditional density estimation in R

R
@nhejazi
10.21105/joss.04522
published Published over 2 years ago

tipr: An R package for sensitivity analyses for unmeasured confounders

R
@LucyMcGowan
10.21105/joss.04495
published Published over 2 years ago

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

Python
@max-little
10.21105/joss.04534
published Published over 3 years ago

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

R
@nhejazi
10.21105/joss.03979
published Published over 4 years ago

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

R
@nhejazi
10.21105/joss.02447
published Published over 4 years ago

hal9001: Scalable highly adaptive lasso regression in R

R C++
@nhejazi
10.21105/joss.02526
published Published over 4 years ago

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

Python
@ronikobrosly
10.21105/joss.02523
published Published almost 5 years ago

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

R C++
@erikcs
10.21105/joss.02232
published Published over 7 years ago

biotmle: Targeted Learning for Biomarker Discovery

R
@nhejazi
10.21105/joss.00295
Displaying papers 11 - 20 of 20 in total

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ISSN 2475-9066