# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "pemultinom" in publications use:'
type: software
license: GPL-2.0-only
title: 'pemultinom: L1-Penalized Multinomial Regression with Statistical Inference'
version: 0.1.1
doi: 10.32614/CRAN.package.pemultinom
abstract: 'We aim for fitting a multinomial regression model with Lasso penalty and
  doing statistical inference (calculating confidence intervals of coefficients and
  p-values for individual variables). It implements 1) the coordinate descent algorithm
  to fit an l1-penalized multinomial regression model (parameterized with a reference
  level); 2) the debiasing approach to obtain the inference results, which is described
  in "Tian, Y., Rusinek, H., Masurkar, A. V., & Feng, Y. (2024). L1‐Penalized Multinomial
  Regression: Estimation, Inference, and Prediction, With an Application to Risk Factor
  Identification for Different Dementia Subtypes. Statistics in Medicine, 43(30),
  5711-5747."'
authors:
- family-names: Tian
  given-names: Ye
  email: ye.t@columbia.edu
- family-names: Rusinek
  given-names: Henry
  email: hr18@nyu.edu
- family-names: V. Masurkar
  given-names: Arjun
  email: Arjun.Masurkar@nyulangone.org
- family-names: Feng
  given-names: Yang
  email: yang.feng@nyu.edu
repository: https://ytstat.r-universe.dev
commit: 628a435d112e06ae9b36434a49b23d6f12785459
date-released: '2025-02-28'
contact:
- family-names: Tian
  given-names: Ye
  email: ye.t@columbia.edu