TwoPhaseDesign

Constructs a two-phase experimental design, computes component information matrices, and evaluates the efficiency factor across intra-block correlations values.

Tools for constructing and analyzing two-phase experimental designs under correlated error structures. Version 1.1.1 includes improved efficiency factor classification with tolerance control, updated plot visualizations, and improved clarity of the results. The conceptual framework and the term two-phase were introduced by McIntyre (1955) <doi:10.2307/3001770>).

Akhilesh Jha

TwoPhaseCorR

Construct Two-Phase Experimental Designs with Correlated Errors

Cini Varghese

Seema Jaggi

Eldho Varghese

Mohd Harun

Med Ram Verma

TwoPhaseDesign function

<dl><dt>v</dt>
<dd>Integer (greater than or equal to 3). Number of treatments in Phase II.</dd>
<dt>rho</dt>
<dd>Intra-block correlation coefficient. A numeric value in (-1, 1).</dd>
<dt>plot</dt>
<dd>Logical. If TRUE, plots Efficiency Factor vs Intra-block correlation coefficient.</dd>
<dt>n_table</dt>
<dd>Number of efficiency values to display in the output table.</dd>
<dt>tol</dt>
<dd>Tolerance level for classifying Efficiency Factor as approximately equal to 1. Default is 1e-3.</dd></dl>

Arguments

Construct Two-Phase Experimental Designs with Correlated Errors — TwoPhaseDesign

<dl>

<dt>v</dt>
<dd>Integer (greater than or equal to 3). Number of treatments in Phase II.</dd>


<dt>rho</dt>
<dd>Intra-block correlation coefficient. A numeric value in (-1, 1).</dd>


<dt>plot</dt>
<dd>Logical. If TRUE, plots Efficiency Factor vs Intra-block correlation coefficient.</dd>


<dt>n_table</dt>
<dd>Number of efficiency values to display in the output table.</dd>


<dt>tol</dt>
<dd>Tolerance level for classifying Efficiency Factor as approximately equal to 1. Default is 1e-3.</dd>

</dl>

TwoPhaseDesign: Construct Two-Phase Experimental Designs with Correlated Errors

Description

Usage

Value

Arguments

References

Examples