Package: flassomsm
Type: Package
Title: Penalized Estimation for Multi-State Models with Lasso and Fused
        Penalties
Version: 0.1.0
Authors@R: c(
  person(given = "Atanu", "Bhattacharjee",
           email = "atanustat@gmail.com",
           role = c("aut", "cre", "ctb")),
    person("Gajendra Kumar", "Vishwakarma",
           role = c("aut", "ctb")),
    person("Abhipsa", "Tripathy",
           role = c("aut", "ctb")))
Maintainer: Atanu Bhattacharjee <atanustat@gmail.com>
Description: 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.
Imports: dplyr, corpcor, future, future.apply, glmnet, mstate,numDeriv,
        penalized, progress, progressr, survival
Suggests: ggplot2, rlang, mice
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
RoxygenNote: 7.3.3
NeedsCompilation: no
Packaged: 2026-07-04 07:06:27 UTC; root
Author: Atanu Bhattacharjee [aut, cre, ctb], Gajendra Kumar Vishwakarma
        [aut, ctb], Abhipsa Tripathy [aut, ctb]
Repository: https://atanubhattacharjee.r-universe.dev
Date/Publication: 2025-11-26 09:30:02 UTC
RemoteUrl: https://github.com/cran/flassomsm
RemoteRef: HEAD
RemoteSha: 902194c3b6ef4c9160f810cb82cda73e9c49346e