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: 2025-11-05 04:56:53 UTC; ABHIPSA TRIPATHY
Author: Atanu Bhattacharjee [aut, cre, ctb],
  Gajendra Kumar Vishwakarma [aut, ctb],
  Abhipsa Tripathy [aut, ctb]
Repository: CRAN
Date/Publication: 2025-11-26 09:30:02 UTC
Built: R 4.6.0; ; 2026-04-29 02:45:16 UTC; unix
