# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
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: 0.0.3
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@monash.edu
- family-names: Hastie
  given-names: Trevor
repository: https://anumbat.r-universe.dev
repository-code: https://github.com/erikcs/balnet
commit: ac903abf8af4776d3d047f4d204ecbd4f534713f
url: https://github.com/erikcs/balnet
date-released: '2026-05-26'
contact:
- family-names: Sverdrup
  given-names: Erik
  email: erik.sverdrup@monash.edu