Pathwise Estimation of Covariate Balancing Propensity Scores R package balnet version 0.0.1 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 and objectives that directly target covariate balance for the ATE and ATT. For details, see Sverdrup & Hastie (2026) <doi:10.48550/arXiv.2602.18577>. Software Imports: Rcpp, Matrix, methods LinkingTo: Rcpp, RcppEigen Suggests: testthat (>= 3.0.0), knitr, rmarkdown Erik Sverdrup <erik.sverdrup@monash.edu> Comprehensive R Archive Network (CRAN) Erik Sverdrup [aut, cre], Trevor Hastie [aut], James Yang [ctb] (adelie core author) MIT + file LICENSE (https://CRAN.R-project.org/package=balnet/LICENSE) 2026-04-03 application/tgz https://CRAN.R-project.org/package=balnet doi:10.32614/CRAN.package.balnet