wARMASVp
0.2.0Winsorized ARMA Estimation for Higher-Order Stochastic Volatility Models
Overview
Estimation, simulation, hypothesis testing, AR-order selection, and forecasting for univariate higher-order stochastic volatility SV(p) models. Supports Gaussian, Student-t, and Generalized Error Distribution (GED) innovations, with optional leverage effects. Estimation uses closed-form Winsorized ARMA-SV (W-ARMA-SV) moment-based methods that avoid numerical optimization. Hypothesis testing includes Local Monte Carlo (LMC) and Maximized Monte Carlo (MMC) procedures for leverage effects, heavy tails, and autoregressive order. AR-order selection is also available via information criteria (BIC/AIC) using the Kalman-filter quasi-likelihood and the Hannan-Rissanen ARMA residual variance. Forecasting is based on Kalman filtering and smoothing. See Ahsan and Dufour (2021) doi:10.1016/j.jeconom.2021.03.008, Ahsan, Dufour, and Rodriguez-Rondon (2025) doi:10.1111/jtsa.12851, and Ahsan, Dufour, and Rodriguez-Rondon (2026) doi:10.34989/swp-2026-8 for details.
Install
Health
- NOTE r-devel-linux-x86_64-debian-gcc
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-05-0213 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-04-259 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-04-236 OK · 1 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
Documentation
- Examples that run
- 0%
- Documented parameters
- 96%
- Return-value docs
- 100%
- References docs
- 9%
Downloads
Repository
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Checks run against github.com/roga11/warmasvp on 2026-07-31.
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Code & Tests
People & History
2 releases. Pick two to compare their code metrics. R releases are shown for context.
- 0.2.0Latest
- RR 4.6.0 released · 2026-04-24
- 0.1.02026-04-22
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2026-04-22
- Total releases
- 2 / 1 yrs
- License
- GPL (>= 3) OSI
- Download size
- not tracked yet
- Installed size
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- With dependencies
- not tracked yet