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cff-version: 1.2.0
message: 'To cite package "flassomsm" in publications use:'
type: software
license: GPL-3.0-only
title: 'flassomsm: Penalized Estimation for Multi-State Models with Lasso and Fused
  Penalties'
version: 0.1.0
doi: 10.32614/CRAN.package.flassomsm
abstract: Provides a suite of methods for detecting influential subjects in longitudinal
  datasets, particularly when observations occur at irregular time points. The methods
  identify individuals whose response trajectories deviate significantly from the
  population pattern, enabling detection of anomalies or subjects exerting undue influence
  on model outcomes.
authors:
- family-names: Bhattacharjee
  given-names: Atanu
  email: atanustat@gmail.com
- family-names: Vishwakarma
  given-names: Gajendra Kumar
- family-names: Tripathy
  given-names: Abhipsa
repository: https://atanubhattacharjee.r-universe.dev
commit: 902194c3b6ef4c9160f810cb82cda73e9c49346e
date-released: '2025-11-26'
contact:
- family-names: Bhattacharjee
  given-names: Atanu
  email: atanustat@gmail.com