NLIP

Generates a block design with specified parameters and concurrence matrix through an alternative linear integer programming approach

internal

A collection of several utility functions related to binary incomplete block designs. Contains function to generate A- and D-efficient binary incomplete block designs with given numbers of treatments, number of blocks and block size. Contains function to generate an incomplete block design with specified concurrence matrix. There are functions to generate balanced treatment incomplete block designs and incomplete block designs for test versus control treatments comparisons with specified concurrence matrix. Allows performing analysis of variance of data and computing estimated marginal means of factors from experiments using a connected incomplete block design. Tests of hypothesis of treatment contrasts in incomplete block design set up is supported.

B N Mandal

Incomplete Block Designs

NLIP function

<dl>	<dt>v</dt>
<dd>number of test treatments</dd>	<dt>b</dt>
<dd>number of blocks</dd>	<dt>k</dt>
<dd>block size</dd>	<dt>NNPo</dt>
<dd>specified concurrence matrix</dd>	</dl>

Arguments

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

Author

An Alternative Approach to Obtain a Block Design with Specified Concurrence Matrix — NLIP

<dl>

	<dt>v</dt>
<dd>number of test treatments</dd>

	<dt>b</dt>
<dd>number of blocks</dd>

	<dt>k</dt>
<dd>block size</dd>

	<dt>NNPo</dt>
<dd>specified concurrence matrix</dd>

	</dl>

NLIP: An Alternative Approach to Obtain a Block Design with Specified Concurrence Matrix

Description

Usage

Value

Arguments

Author

References