cwad: Connectivity-Weighted Allocation and Comparison of Field-Plot Designs

A reproducible mixed-model toolkit for plant-breeding trial design. It evaluates any replication allocation under a known genetic relationship (kinship) matrix using one common linear-mixed-model engine on genotype means. Crucially, allocation and analysis model are crossed rather than confounded: every allocation can be scored both with and without kinship, so the precision gain attributable to a design can be separated from the gain attributable to the kinship-based analysis adopted alongside it. It computes A-optimal, connectivity-aware allocations via rank-1 Sherman-Morrison updates, and provides Monte-Carlo stress tests for outlier shrinkage and for an incorrectly specified kinship matrix, each with a matched control arm.

Version:	0.2.0
Depends:	R (≥ 4.0.0)
Suggests:	testthat (≥ 3.0.0), knitr, rmarkdown
Published:	2026-09-26
DOI:	10.32614/CRAN.package.cwad (may not be active yet)
Author:	Praveen Kumar [aut, cre]
Maintainer:	Praveen Kumar <bkpraveenars at gmail.com>
BugReports:	https://github.com/bkpraveenars-del/cwad/issues
License:	GPL-3
URL:	https://github.com/bkpraveenars-del/cwad
NeedsCompilation:	no
Materials:	README
CRAN checks:	cwad results

Documentation:

Reference manual:	cwad.html , cwad.pdf
Vignettes:	Separating design gains from analysis-model gains with cwad (source, R code)

Downloads:

Package source:	cwad_0.2.0.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): cwad_0.2.0.tgz, r-oldrel (arm64): cwad_0.2.0.tgz, r-release (x86_64): cwad_0.2.0.tgz, r-oldrel (x86_64): cwad_0.2.0.tgz

Linking:

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