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): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

Please use the canonical form https://CRAN.R-project.org/package=cwad to link to this page.