facmodTS
1.0Time Series Factor Models for Asset Returns
Overview
Supports teaching methods of estimating and testing time series factor models for use in robust portfolio construction and analysis. Unique in providing not only classical least squares, but also modern robust model fitting methods which are not much influenced by outliers. Includes returns and risk decompositions, with user choice of standard deviation, value-at-risk, and expected shortfall risk measures. "Robust Statistics Theory and Methods (with R)", R. A. Maronna, R. D. Martin, V. J. Yohai, M. Salibian-Barrera (2019) doi:10.1002/9781119214656.
Install
Health
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 99%
- Return-value docs
- 100%
- References docs
- 45%
Downloads
Repository
Stars over time
Forks over time
Repository practices
1 development-tooling and community-health practice detected across 1 family in the upstream repository
Checks run against github.com/robustport/facmodts on 2026-07-19.
Dependencies
Nothing depends on this yet.
Code & Tests
- Cyclomatic complexity
- 4.0 median / 41 max
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
44 10 exported
Complexity
6 avg / 41 max
Call network
44 nodes / 20 edges
Call graph
Open call graph →Lowest coverage
Per-function coverage is not measured for this package yet.
People & History
1 release. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 1.0Latest2026-03-10 · current release
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2023-11-09
- Total releases
- 1 / 3 yrs
- License
- GPL-2 OSI
- Minimum R
- ≥ 3.5
- Download size
- 60 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet