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.

Detects perceptions of warmth and competence in American English self-presentation language. Using trained elastic net regression models, this package provides a numerical representation of warmth and competence perceptions. Methods are described here:<https://github.com/bushraguenoun/warmthcompetence/tree/master/paper>.

This estimates precise weaning ages
	for a given skeletal population
	by analyzing the stable nitrogen isotope ratios of them.
	Bone collagen turnover rates estimated anew and
	the approximate Bayesian computation (ABC)
	were adopted in this package.

Infectious disease surveillance requires early outbreak detection. This
    package provides statistical tools for analyzing time-series monitoring 
    data through three core methods: 
    a) EWMA (Exponentially Weighted Moving Average)
    b) Modified-CUSUM (Modified Cumulative Sum)
    c) Adjusted-Serfling models
    Methodologies are based on:
    - Wang et al. (2010) <doi:10.1016/j.jbi.2009.08.003>
    - Wang et al. (2015) <doi:10.1371/journal.pone.0119923>
    Designed for epidemiologists and public health researchers working with
    disease surveillance systems.