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cff-version: 1.2.0
message: 'To cite package "balnet" in publications use:'
type: software
license: MIT
title: 'balnet: Pathwise Estimation of Covariate Balancing Propensity Scores'
version: 0.0.4
doi: 10.32614/CRAN.package.balnet
abstract: 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) <https://doi.org/10.48550/arXiv.2602.18577>.
authors:
- family-names: Sverdrup
  given-names: Erik
  email: erik.sverdrup@gmail.com
- family-names: Hastie
  given-names: Trevor
repository: https://erikcs.r-universe.dev
repository-code: https://github.com/erikcs/balnet
commit: 5800ce783aebabb73086e5dfe8b71f399847f7ff
url: https://github.com/erikcs/balnet
date-released: '2026-08-23'
contact:
- family-names: Sverdrup
  given-names: Erik
  email: erik.sverdrup@gmail.com