Package: balnet
Title: Pathwise Estimation of Covariate Balancing Propensity Scores
Version: 0.0.1
Authors@R: c(
    person("Erik", "Sverdrup", role = c("aut", "cre"), email = "erik.sverdrup@monash.edu"),
    person("Trevor", "Hastie", role = "aut"),
    person("James", "Yang", role = "ctb", comment = "adelie core author")
    )
Description: 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>.
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.3.3
LinkingTo: Rcpp, RcppEigen
SystemRequirements: C++17
Imports: Rcpp, Matrix, methods
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
URL: https://github.com/erikcs/balnet
BugReports: https://github.com/erikcs/balnet/issues
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-03-31 02:29:15 UTC; erikcs
Author: Erik Sverdrup [aut, cre],
  Trevor Hastie [aut],
  James Yang [ctb] (adelie core author)
Maintainer: Erik Sverdrup <erik.sverdrup@monash.edu>
Repository: CRAN
Date/Publication: 2026-04-03 09:00:16 UTC
Built: R 4.6.0; x86_64-w64-mingw32; 2026-04-25 14:37:14 UTC; windows
Archs: x64
