Package: wARMASVp Type: Package Title: Winsorized ARMA Estimation for Higher-Order Stochastic Volatility Models Version: 0.2.0 Authors@R: c( person("Gabriel", "Rodriguez-Rondon", email = "gabriel.rodriguezrondon@mail.mcgill.ca", role = c("aut", "cre"), comment = c(ORCID = "0009-0005-3769-9921")), person("Md. Nazmul", "Ahsan", role = "aut"), person("Jean-Marie", "Dufour", role = "aut")) Description: 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) , Ahsan, Dufour, and Rodriguez-Rondon (2025) , and Ahsan, Dufour, and Rodriguez-Rondon (2026) for details. License: GPL (>= 3) URL: https://github.com/roga11/wARMASVp BugReports: https://github.com/roga11/wARMASVp/issues Encoding: UTF-8 Imports: Rcpp (>= 1.0.0), gsignal, stats Suggests: pso, GenSA, testthat (>= 3.0.0), knitr, rmarkdown LinkingTo: Rcpp, RcppArmadillo RoxygenNote: 7.3.3 VignetteBuilder: knitr NeedsCompilation: yes Packaged: 2026-10-27 10:09:43 UTC; root Author: Gabriel Rodriguez-Rondon [aut, cre] (ORCID: ), Md. Nazmul Ahsan [aut], Jean-Marie Dufour [aut] Maintainer: Gabriel Rodriguez-Rondon Repository: https://cran.r-universe.dev Date/Publication: 2026-05-15 17:56:11 UTC RemoteUrl: https://github.com/cran/wARMASVp RemoteRef: HEAD RemoteSha: 832dc1c9bfe624d3056842ba76e3c8379124c283