Empirical and exponential empirical likelihood tests for two samples {Rfast} | R Documentation |
Empirical and exponential empirical likelihood tests for two samples
Description
Empirical and exponential empirical likelihood tests for two samples.
Usage
eel.test2(x, y, tol = 1e-09, logged = FALSE)
el.test2(x, y, tol = 1e-07, logged = FALSE)
Arguments
x |
A numerical vector. |
y |
Another numerical vector. |
tol |
The tolerance value to stop the iterations of the Newton-Raphson. |
logged |
Should the logarithm of the p-value be returned? TRUE or FALSE. |
Details
Empirical and exponential empirical likelihood are two non parametric hypothesis testing methods. We can use them as non parametric alternatives to the t-test. Newton-Raphson is used to maximise the log-likelihood ratio test statistic. In the case of no solution, NULL is returned.
Value
iters |
The number of iterations required by the Newton-Raphson algorithm. If no covnergence occured this is NULL. |
info |
A vector with three elements, the value of the |
p1 |
The estimated probabilities, one for each observation for the first sample. If no covnergence occured this is NULL. |
p2 |
The estimated probabilities, one for each observation for the second sample. If no covnergence occured this is NULL. |
Author(s)
Michail Tsagris
R implementation and documentation: Michail Tsagris <mtsagris@uoc.gr> and Manos Papadakis <papadakm95@gmail.com>.
References
Owen A. B. (2001). Empirical likelihood. Chapman and Hall/CRC Press.
See Also
Examples
x <- rnorm(200)
y <- rnorm(300)
eel.test2(x, y)
el.test2(x, y)