CovTools (version 0.5.4)

DiagTest1.2015Lan: One-Sample Diagonality Test by Lan et al. (2015)

Description

Given data, it performs 1-sample test for diagonal entries of a Covariance matrix where the null hypothesis is $$H_0 : \sigma_{ij} = 0~\mathrm{for any}~i \neq j$$ and alternative hypothesis is \(H_1 : ~\mathrm{not}~H_0\) with \(\Sigma_n = (\sigma_{ij})\) based on a procedure proposed by Lan et al. (2015).

Usage

DiagTest1.2015Lan(data, alpha = 0.05)

Arguments

data

an \((n\times p)\) data matrix where each row is an observation.

alpha

level of significance.

Value

a named list containing:

statistic

a test statistic value.

threshold

rejection criterion to be compared against test statistic.

reject

a logical; TRUE to reject null hypothesis, FALSE otherwise.

References

lan_testing_2015CovTools

Examples

# NOT RUN {
## generate data from multivariate normal with trivial covariance.
pdim = 5
data = matrix(rnorm(100*pdim), ncol=pdim)

## run test with different alpha values
DiagTest1.2015Lan(data, alpha=0.01)
DiagTest1.2015Lan(data, alpha=0.05)
DiagTest1.2015Lan(data, alpha=0.10)
# }
# NOT RUN {
# }