corrmat_block

An easy function to generate a block design correlation matrix. Each diagonal
element \(R_i\) is a compound symmetric matrix with dimension
\(d_i \times d_i\). Correlation coefficient in each block is \(\rho_i\).
All the off-diagonal elements are \(0\).

Perform additional multiple testing procedure methods to p.adjust(),
such as weighted Hochberg (Tamhane, A. C., & Liu, L., 2008) <doi:10.1093/biomet/asn018>,
ICC adjusted Bonferroni method (Shi, Q., Pavey, E. S., & Carter, R. E., 2012)
<doi:10.1002/pst.1514> and a new correlation corrected weighted Hochberg for correlated
endpoints.

Xin-Wei Huang

corrMCT

Correlated Weighted Hochberg

Jia Hua

Bhramori Banerjee

Xuelong Wang

Qing Li

Merck & Co., Inc 

corrmat_block function

<dl><dt>d</dt>
<dd>An integer vector. Length \(B\) of block dimensions. Element of <code>d</code>
can be <code>1</code>, it would not generate a sub-matrix with the corresponding element in
<code>rho</code>, but just \(1\).</dd>
<dt>rho</dt>
<dd>A numeric vector. A length \(B\) vector of correlation coefficients,
represent \(B\) different block of correlation matrix.</dd></dl>

Arguments

Block design correlation matrix — corrmat_block

<dl>

<dt>d</dt>
<dd>An integer vector. Length \(B\) of block dimensions. Element of <code>d</code>
can be <code>1</code>, it would not generate a sub-matrix with the corresponding element in
<code>rho</code>, but just \(1\).</dd>


<dt>rho</dt>
<dd>A numeric vector. A length \(B\) vector of correlation coefficients,
represent \(B\) different block of correlation matrix.</dd>

</dl>

corrmat_block: Block design correlation matrix

Description

Usage

Value

Arguments

Examples