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DeepLearningCausal: Causal Inference with Super Learner and Deep Neural Networks

Functions for deep learning estimation of Conditional Average Treatment Effects (CATEs) from meta-learner models and Population Average Treatment Effects on the Treated (PATT) in settings with treatment noncompliance using reticulate, TensorFlow and Keras3. Functions in the package also implements the conformal prediction framework that enables computation and illustration of conformal prediction (CP) intervals for estimated individual treatment effects (ITEs) from meta-learner models. Additional functions in the package permit users to estimate the meta-learner CATEs and the PATT in settings with treatment noncompliance using weighted ensemble learning via the super learner approach and R neural networks.

Version: 0.0.107
Depends: R (≥ 4.1.0)
Imports: ROCR, caret, neuralnet, SuperLearner, ggplot2, tidyr, magrittr, reticulate, keras3, Hmisc
Suggests: testthat (≥ 3.0.0), dplyr, class, xgboost, randomForest, glmnet, ranger, gam, e1071, gbm, tensorflow
Published: 2025-10-30
DOI: 10.32614/CRAN.package.DeepLearningCausal
Author: Nguyen K. Huynh ORCID iD [aut, cre], Bumba Mukherjee ORCID iD [aut], Yang Yang ORCID iD [aut]
Maintainer: Nguyen K. Huynh <khoinguyen.huynh at r.hit-u.ac.jp>
BugReports: https://github.com/hknd23/DeepLearningCausal/issues
License: GPL-3
URL: https://github.com/hknd23/DeepLearningCausal
NeedsCompilation: no
CRAN checks: DeepLearningCausal results

Documentation:

Reference manual: DeepLearningCausal.html , DeepLearningCausal.pdf

Downloads:

Package source: DeepLearningCausal_0.0.107.tar.gz
Windows binaries: r-devel: DeepLearningCausal_0.0.107.zip, r-release: DeepLearningCausal_0.0.107.zip, r-oldrel: DeepLearningCausal_0.0.107.zip
macOS binaries: r-release (arm64): DeepLearningCausal_0.0.107.tgz, r-oldrel (arm64): DeepLearningCausal_0.0.107.tgz, r-release (x86_64): DeepLearningCausal_0.0.107.tgz, r-oldrel (x86_64): DeepLearningCausal_0.0.107.tgz
Old sources: DeepLearningCausal archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=DeepLearningCausal to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.