block.design

This function generates the block contents from a given incidence matrix

internal

incidence matrix

incomplete block design

A collection of functions to construct A-optimal block designs for comparing test treatments with one or more control(s). Mainly A-optimal balanced treatment incomplete block designs, weighted A-optimal balanced treatment incomplete block designs, A-optimal group divisible treatment designs and A-optimal balanced bipartite block designs can be constructed using the package. The designs are constructed using algorithms based on linear integer programming. To the best of our knowledge, these facilities to construct A-optimal block designs for comparing test treatments with one or more controls are not available in the existing R packages. For more details on designs for tests versus control(s) comparisons, please see Hedayat, A. S. and Majumdar, D. (1984) <doi:10.1080/00401706.1984.10487989> A-Optimal Incomplete Block Designs for Control-Test Treatment Comparisons, Technometrics, 26, 363-370 and Mandal, B. N. , Gupta, V. K., Parsad, Rajender. (2017) <doi:10.1080/03610926.2015.1071394> Balanced treatment incomplete block designs through integer programming. Communications in Statistics - Theory and Methods 46(8), 3728-3737.

B N Mandal

Aoptbdtvc

A-Optimal Block Designs for Comparing Test Treatments with
Controls

Baidya Nath Mandal

Sukanta Dash

Rajender Parsad

block.design function

<dl>	<dt>N</dt>
<dd>incidence matrix</dd>	</dl>

Arguments

Baidya Nath Mandal &lt;mandal.stat@gmail.com&gt;

Author

Block design from given incidence matrix — block.design

<dl>

	<dt>N</dt>
<dd>incidence matrix</dd>

	</dl>

block.design: Block design from given incidence matrix

Description

Usage

Value

Arguments

Author