Provides pathwise estimation of regularized logistic propensity score models using covariate balancing loss functions rather than maximum likelihood. Regularization paths are fit via the 'adelie' elastic-net solver with a 'glmnet'-like interface, yielding balancing weights that target covariate balance for the ATE and ATT. Under lasso penalization, lambda bounds the maximum covariate imbalance, so the regularization path traces a sequence of decreasing imbalance tolerances. For details, see Sverdrup & Hastie (2026) <doi:10.48550/arXiv.2602.18577>.
| Version: | 0.0.3 |
| Imports: | Rcpp, Matrix, methods |
| LinkingTo: | Rcpp, RcppEigen |
| Suggests: | testthat (≥ 3.0.0), knitr, rmarkdown |
| Published: | 2026-05-26 |
| DOI: | 10.32614/CRAN.package.balnet |
| Author: | Erik Sverdrup [aut, cre], Trevor Hastie [aut], James Yang [ctb] (Author of the bundled adelie C++ library.) |
| Maintainer: | Erik Sverdrup <erik.sverdrup at monash.edu> |
| BugReports: | https://github.com/erikcs/balnet/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/erikcs/balnet |
| NeedsCompilation: | yes |
| SystemRequirements: | C++17 |
| CRAN checks: | balnet results |
| Reference manual: | balnet.html , balnet.pdf |
| Vignettes: |
An introduction to balnet (source, R code) |
| Package source: | balnet_0.0.3.tar.gz |
| Windows binaries: | r-devel: balnet_0.0.2.zip, r-release: balnet_0.0.3.zip, r-oldrel: balnet_0.0.2.zip |
| macOS binaries: | r-release (arm64): balnet_0.0.3.tgz, r-oldrel (arm64): balnet_0.0.3.tgz, r-release (x86_64): balnet_0.0.3.tgz, r-oldrel (x86_64): balnet_0.0.3.tgz |
| Old sources: | balnet archive |
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