Skip to content

varGuidTS

0.1.13

Variance-Guided Time-Series Modeling for Temporal Risk Detection

0packages depend
823downloads / year
72.0%test coverage
13/13checks pass

Overview

About
Maintained by Min LuFirst published 2026-05-281 releasesCRAN page ↗GitHub ↗

Fits balanced-panel autoregressive models with conditional heteroscedasticity for temporal risk detection. The main estimator combines autoregressive exogenous mean modeling with GARCH-X variance modeling, subject-specific baseline terms, shared population coefficients, and L1 penalization for high-dimensional covariates. The package returns conditional mean and variance estimates, coefficient summaries, simulations, and exceedance-based risk scores defined as estimated conditional threshold-exceedance probabilities. The implementation builds on the lasso of Tibshirani (1996) doi:10.1111/j.2517-6161.1996.tb02080.x, generalized autoregressive conditional heteroscedasticity of Bollerslev (1986) doi:10.1016/0304-4076(86)90063-1, and L1-regularized high-dimensional time-series modeling of Medeiros and Mendes (2016) doi:10.1016/j.jeconom.2015.10.011.

Install

Health

CRAN checks
13OK
Slowest check: 1.8 min · r-oldrel-windows-x86_64
Code health
Yes
Tests · ratio 0.06
72.0%
Coverage · measured lines
100%
Documentation · exports
2
Dependencies · direct
Check history
  • OK2026-08-04
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-06-09
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-06-08
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-05-29
    7 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 175 wordsVignettesNopkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
50%
Documented parameters
100%
Return-value docs
100%
References docs
50%

Downloads

823
CRAN downloads in the past year
Rank #12,355 · ~2/day · ~69/mo
Daily download trend is not available in this view yet.
17930 days
82390 days
8231 year
Compare downloads with other packages →
Also on13 r2u4 autocran

Repository

Repository
0Stars
0Forks
0Open issues
0Open PRs
0Releases
License MIT · Last activity 2026-07-03

Repository practices

Upstream repositoryBeta

Checks run against github.com/zionwzz/variance-guided-risk-demo on 2026-08-23.

No development-tooling practices detected in the upstream repository.

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
2 external dependencies (excludes base and recommended)
Depends (1)
R >= 4.1.0
Imports (2)
statsglmnet
LinkingTo (0)
none
Suggests (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (2)
Maintainer (1)
Author, Maintainer
Authors (2)
Author, Maintainer
Package Timeline

1 release. R releases are shown for context.

  • 0.1.13Latest
    2026-05-28 · current release
  • R
    R 4.6.0 released · 2026-04-24

Package metadata

First published
2026-05-28
Total releases
1 / 1 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 4.1.0
Download size
22 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("varGuidTS")
Lu, M., & Wang, Z. (2026). varGuidTS: Variance-Guided Time-Series Modeling for Temporal Risk Detection (Version 0.1.13) [Computer software]. https://doi.org/10.32614/CRAN.package.varGuidTS

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for varGuidTS version 0.1.13 [Data set]. HJJB, LLC. Data release v2026-08-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

Report a problem with this page →

Privacy choices

These apply to this browser and are stored on this device only. Nothing about your choice is sent to us.

Read the privacy policy