JOSS Papers: causality

Published Papers

published Published 20 days ago

The Causal Testing Framework

Python

10.21105/joss.07739

published Published 30 days ago

CausalTables.jl: Simulating and storing data for statistical causal inference in Julia

Julia

10.21105/joss.07580

published Published 4 months ago

jointVIP: Prioritizing variables in observational study design with joint variable importance plot in R

R

10.21105/joss.06093

published Published about 1 year ago

GPCERF - An R package for implementing Gaussian processes for estimating causal exposure response curves

R C++

10.21105/joss.05465

published Published about 1 year ago

konfound: An R Sensitivity Analysis Package to Quantify the Robustness of Causal Inferences

R

10.21105/joss.05779

published Published over 1 year ago

CRE: An R package for interpretable discovery and inference of heterogeneous treatment effects

R

10.21105/joss.05587

published Published over 1 year ago

SuperNOVA: Semi-Parametric Identification and Estimation of Interaction and Effect Modification in Mixed Exposures using Stochastic Interventions in R

R

@blind-contours

10.21105/joss.05422

published Published over 1 year ago

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

R

10.21105/joss.05453

published Published about 2 years 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 over 2 years ago

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

Python

10.21105/joss.03842

Displaying papers 1 - 10 of 19 in total

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