perm.elcortest: Permutation based EL and EEL test for a correlation...

View source: R/perm.elcortest.R

Permutation based EL and EEL test for a correlation coefficientR Documentation

Permutation based EL and EEL test for a correlation coefficient

Description

Permutation based EL and EEL test for a correlation coefficient.

Usage

perm.elcortest(y, x, tol = 1e-07, B = 999)
perm.eelcortest(y, x, tol = 1e-07, B = 999)

Arguments

y

A numerical vector.

x

A numerical vector.

tol

The tolerance vlaue to terminate the Newton-Raphson algorithm.

B

The numer of permutations to perform.

Details

These functions compute the permutation based p-value for the hypothesis test that the Pearson correlation coefficient is equal to zero using the empirical likelihood or the exponential empirical likelihood.

Value

A vector with two values, the test statistic and its associated permutation based p-value.

Author(s)

Michail Tsagris

R implementation and documentation: Michail Tsagris mtsagris@uoc.gr.

References

Efron B. (1981) Nonparametric standard errors and confidence intervals. Canadian Journal of Statistics, 9(2): 139–158.

Owen A. B. (2001). Empirical likelihood. Chapman and Hall/CRC Press.

See Also

el.cor.test, permcor

Examples

perm.eelcortest( iris[, 1], iris[, 2])

corrfuns documentation built on April 3, 2025, 7:27 p.m.