Simulation, estimation and forecasting of first-order Beta-Skew-t-EGARCH models with leverage (one-component, two-component, skewed versions).

The sample size according to the Bethel's procedure.

Implements likelihood inference for early epidemic analysis. BETS is short for the four key epidemiological events being modeled: Begin of exposure, End of exposure, time of Transmission, and time of Symptom onset. The package contains a dataset of the trajectory of confirmed cases during the coronavirus disease (COVID-19) early outbreak. More detail of the statistical methods can be found in Zhao et al. (2020) <arXiv:2004.07743>.

Provides squared semi partial correlations, tolerance, Mahalanobis, Likelihood Ratio Chi Square, and Pseudo R Square. Aberson, C. L. (2022) <doi:10.31234/osf.io/s2yqn>.

A fast integrative genetic association test for rare diseases based on a model for disease status given allele counts at rare variant sites. Probability of association, mode of inheritance and probability of pathogenicity for individual variants are all inferred in a Bayesian framework - 'A Fast Association Test for Identifying Pathogenic Variants Involved in Rare Diseases', Greene et al 2017 <doi:10.1016/j.ajhg.2017.05.015>.

Provides Bayesian early-warning surveillance methods for
    monitoring healthcare performance and patient safety outcomes.
    The package draws on risk-adjusted monitoring frameworks developed by
    Steiner et al. (2000) <doi:10.1093/biostatistics/1.4.441>,
    Spiegelhalter et al. (2003) <doi:10.1002/sim.1546>, Cook et al.
    (2011) <doi:10.1136/bmjqs.2008.031831>, and Neuburger et al. (2017)
    <doi:10.1136/bmjqs-2016-005511>. The package implements Bayesian
    predictive modelling, risk-adjusted monitoring, early-warning signal
    detection, and graphical tools for continuous quality improvement
    and healthcare performance assessment.

Provides functions for summarizing and plotting the output of the command-line tool 'BeXY' (<https://bitbucket.org/wegmannlab/bexy>), a tool that performs Bayesian inference of sex chromosome karyotypes and sex-linked scaffolds from low-depth sequencing data.