asht:Applied Statistical Hypothesis Tests
Gives some hypothesis test functions (sign test, median and other quantile tests, Wilcoxon signed rank test,
coefficient of variation test, test of normal variance, test on
weighted sums of Poisson [see Fay and Kim
<doi:10.1002/bimj.201600111>], sample size for t-tests with
different variances and non-equal n per arm, Behrens-Fisher
test, nonparametric ABC intervals, Wilcoxon-Mann-Whitney test
[with effect estimates and confidence intervals, see Fay and
Malinovsky <doi:10.1002/sim.7890>], two-sample melding tests
[see Fay, Proschan, and Brittain <doi:10.1111/biom.12231>],
one-way ANOVA allowing var.equal=FALSE [see Brown and Forsythe,
1974, Biometrics]), prevalence confidence intervals that adjust
for sensitivity and specificity [see Lang and Reiczigel, 2014
<doi:10.1016/j.prevetmed.2013.09.015>] or Bayer, Fay, and
Graubard, 2023 <doi:10.48550/arXiv.2205.13494>). The focus is
on hypothesis tests that have compatible confidence intervals,
but some functions only have confidence intervals (e.g.,
prevSeSp).
