genDelMat: Generate delta matrix
In popKorn: For interval estimation of mean of selected populations

Description Usage Arguments Details Value See Also Examples

This function will generate the matrix of deltas, as specified in the paper. See Details section.

1	genDelMat(theta.diff, sigma.2 = 1, n = 1)

`theta.diff`	A vector of length p-1, where p is the number of populations of treatments. Coordinate [i] in theta.diff corresponds to θ_i - θ_{i+1}.
`sigma.2`	The known variance of the error terms.
`n`	The number of replications in each population.

As specified in the paper, we can assume that the thetas are in a decreasing order, meaning that θ_1 ≥ θ_2, …, θ_n. It follows that all the components of the theta.diff vector must be positive. Note that the delta matrix in the paper is a scaled version of the differences between the thetas.

The function returns a matrix with p rows and p columns, that contains the delta_{ij}'s, as described in the paper.

exactCoverageProb, integrand