hodges_lehmann.ci: Hodges-Lehmann type estimation and confidence intervals.

In npsm: Nonparametric Statistical Methods

Hodges-Lehmann type estimation and confidence intervals.

Description

Hodges-Lehmann type estimation and confidence intervals.

Usage

hodges_lehmann.ci(x, y, var.equal = FALSE, conf.level = 0.95, ...)

Arguments

x	numeric vector.
y	numeric vector.
var.equal	logical. Assume scales are equal (TRUE) of not (FALSE).
conf.level	confidence level to be used for the confidence interval.
...	optional arguments. currently unused.

Details

Currently implements 2-sample estimation and confidence intervals based on methods purposed by Hodges and Lehnmann.

Value

estimate	parameter point estimate
stderr	estimated standard error of point estimate
conf.int	estimated confidence interval

Author(s)

John Kloke, Joseph McKean

References

Hollander, M. and Wolfe, D.A. (1999), Nonparametric Statistical Methods, New York: Wiley.

Kloke, J. and McKean, J.W. (2014), Nonparametric statistical methods using R, Boca Raton, FL: Chapman-Hall.

See Also

wilcox.test

Examples

zoo<-c(390,258,298,255,324,240,416,319,225,284)
rh <- c(187,186,179,269,382,264,353 ,38,350,267,229,383,254,302,195, 43,337,390)
hodges_lehmann.ci(zoo,rh)

npsm documentation built on Nov. 15, 2023, 1:08 a.m.