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)