q.robustified.t: Lower quantiles of TA or TB
In rt.test: Robustified t-Test

Description Usage Arguments Details Author(s) References See Also Examples

Calculates the quantiles of the robustified t-test statistic (TA or TB).

1	q.robustified.t(p, n, test.stat=c("TA", "TB"), lower.tail=TRUE)

`p`	vector of probabilities.
`n`	the sample size
`test.stat`	a character string specifying the test statistic.
`lower.tail`	logical; if TRUE (default), probabilities are p=P[X <= x], otherwise, p=P[X > x].

Using the empirical distributions of TA and TB statistics, it calculates the quantile.

Chanseok Park and Min Wang

Park, C. and M. Wang (2018). Empirical distributions of the robustified t-test statistics. ArXiv e-prints, 1807.02215. https://arxiv.org/abs/1807.02215

qt for obtaining quantile value of Student t-distribution.

# quantile value of TA (using median and MAD) statistic
q.robustified.t(p=0.01, n=10, test.stat="TA")

# quantile value of TB (using Hodges-Lehmann and Shamos) statistic
q.robustified.t(p=0.01, n=10, test.stat="TB")