Type: | Package |
Title: | Construction and Analysis of Two-Phase Experimental Designs with Correlated Errors |
Version: | 1.0.0 |
Maintainer: | Akhilesh Jha <jha.akhilesh09@gmail.com> |
Description: | Tools for constructing and analyzing two-phase experimental designs under correlated error structures. Includes cyclic constructions of designs and computes information matrices for Phase I residual treatment effects, Phase II direct treatment effects, and their interaction along with the canonical efficiency factor. |
License: | GPL-3 |
Encoding: | UTF-8 |
RoxygenNote: | 7.3.2 |
Imports: | Matrix, MASS, ggplot2 |
NeedsCompilation: | no |
Packaged: | 2025-07-06 18:42:33 UTC; Akhilesh Jha |
Author: | Akhilesh Jha [aut, cre], Cini Varghese [aut], Seema Jaggi [aut], Eldho Varghese [aut], Mohd Harun [aut], Med Ram Verma [aut] |
Repository: | CRAN |
Date/Publication: | 2025-07-09 13:30:06 UTC |
Two-Phase Experimental Design Construction and Analysis
Description
Constructs and evaluates a two-phase experimental design using cyclic methods. Calculates information matrices and Canonical Efficiency Factor (CEF) under correlated error structures.
Usage
TwoPhaseDesign(v, rho, plot = TRUE)
Arguments
v |
Integer (>=3). Number of treatments in Phase II. |
rho |
Numeric (-1 < rho < 1). Correlation coefficient. |
plot |
Logical. If TRUE (default), generates a CEF plot using ggplot2. |
Value
A list containing the Phase I and Phase II layouts, combined layout, information matrices for treatment and interaction effects, and a table and plot of Canonical Efficiency Factors.
References
McIntyre, G. A. (1955). Design and analysis of two-phase experiments. Biometrics, 11(3), 324-334. <doi:10.2307/3001770>
Examples
result <- TwoPhaseDesign(v = 3, rho = 0.1, plot = FALSE)
print(result$cef_table)