Penalized Estimation for Multi-State Models with Lasso and Fused Penalties
Overview
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.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- Help pages
- 9
- Examples that run
- 100%9 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 99%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
Dependencies
Installing flassomsm adds 40 packages (18 with compiled code, 24 MB of source tarballs). Heaviest: data.table 5.7 MB, glmnet 2.7 MB, Rcpp 1.8 MB.
Code & Tests
Datasets
People & History
- RR 4.6.0 released · 2026-04-24
- 0.1.0Latest2025-11-26 · current release
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2025-11-26
- Total releases
- 1 / 1 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 4.1.0
- Bundled data
- 472 KB / 3 files
- Download size
- 493 KB
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