HJM {mnt} | R Documentation |
statistic of the Henze-Jiménes-Gamero-Meintanis test
Description
Computes the test statistic of the Henze-Jiménes-Gamero-Meintanis test.
Usage
HJM(data, a)
Arguments
data |
a n x d numeric matrix of data values. |
a |
positive numeric number (tuning parameter). |
Details
This functions evaluates the teststatistic with the given data and the specified tuning parameter a
.
Each row of the data Matrix contains one of the n (multivariate) sample with dimension d. To ensure that the computation works properly
n \ge d+1
is needed. If that is not the case the function returns an error.
Value
The value of the test statistic.
References
Henze, N., Jiménes-Gamero, M.D., Meintanis, S.G. (2019), Characterizations of multinormality and corresponding tests of fit, including for GARCH models, Econometric Th., 35:510–546, DOI.
Examples
HJM(MASS::mvrnorm(20,c(0,1),diag(1,2)),a=2.5)
[Package mnt version 1.3 Index]