signtest.conf: Confidence Functions for the Median via the Sign Test

In ddarmon/clp: R Package for Computing Confidence Functions to Accompany CLP

Description

Confidence functions for the median of a continuous distribution based on the sign test.

Usage

signtest.conf(x, plot = TRUE, conf.level = 0.95)

Arguments

x	a vector of observations
plot	whether to plot the confidence density and curve
conf.level	the confidence level for the confidence interval indicated on the confidence curve

Value

A list containing the confidence functions pconf, dconf, cconf, and qconf for the median, as well as the P-curve and S-curve.

References

Tore Schweder and Nils Lid Hjort. Confidence, likelihood, probability. Vol. 41. Cambridge University Press, 2016.

Myles Hollander, Douglas A. Wolfe, and Eric Chicken. Nonparametric Statistical Methods. Vol. 751. John Wiley & Sons, 2013.

Examples

data(dietstudy)

x <- dietstudy$weightchange[dietstudy$diet == 'Low Carb']
y <- dietstudy$weightchange[dietstudy$diet == 'Low Fat']

lc.signtest.conf <- signtest.conf(x)
lf.signtest.conf <- signtest.conf(y)

ddarmon/clp documentation built on Jan. 25, 2021, 6:22 p.m.