lmvt(),
predict.lmvt(), summary.lmvt(),
coef.lmvt(), and simulate_scenario().vgrisk to
varGuidTS.https://github.com/zionwzz/variance-guided-risk-demo.summary.lmvt() and
print.summary.lmvt() for model diagnostics,
selected/nonzero coefficient counts, and a full coefficient summary
table.predict.lmvt() documentation with examples for
pooled thresholds, subject-specific thresholds, and Gaussian/Student-t
exceedance probabilities.lmvt() and predict.lmvt() so that
ARCH/GARCH lags are resolved correctly for all subjects, not only the
first subject.
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