signmedian.test: Perform Exact Sign Test and Asymptotic Sign Test in Large Samples

Perform sign test on one-sample data, which is one of the oldest non-parametric statistical methods. Assume that X comes from a continuous distribution with median = v ( unknown ). Test the null hypothesis H0: median of X v = mu ( mu is the location parameter and is given in the test ) v.s. the alternative hypothesis H1: v > mu ( or v < mu or v != mu ) and calculate the p-value. When the sample size is large, perform the asymptotic sign test. In both ways, calculate the R-estimate of location of X and the distribution free confidence interval for mu.

Version:	1.5.1
Published:	2015-05-30
Author:	Yeyun Yu and Ting Yang
Maintainer:	Ting Yang <707237077 at qq.com>
License:	GPL-2
NeedsCompilation:	no
CRAN checks:	signmedian.test results

Documentation:

Reference manual:

signmedian.test.pdf

Downloads:

Package source:	signmedian.test_1.5.1.tar.gz
Windows binaries:	r-devel: signmedian.test_1.5.1.zip, r-release: signmedian.test_1.5.1.zip, r-oldrel: signmedian.test_1.5.1.zip
macOS binaries:	r-release (arm64): signmedian.test_1.5.1.tgz, r-oldrel (arm64): signmedian.test_1.5.1.tgz, r-release (x86_64): signmedian.test_1.5.1.tgz, r-oldrel (x86_64): signmedian.test_1.5.1.tgz

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