Package: cwad 0.2.0
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.
Authors:
cwad_0.2.0.tar.gz
cwad_0.2.0.zip(r-4.7-any)cwad_0.2.0.zip(r-4.6-any)
cwad_0.2.0.tar.gz(r-4.7-any)cwad_0.2.0.tar.gz(r-4.6-any)
cwad_0.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
cwad/json (API)
| # Install 'cwad' in R: |
| install.packages('cwad', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/bkpraveenars-del/cwad/issues
Last updated from:c9fba8c589. Checks:6 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 125 | ||
| source / vignettes | OK | 188 | ||
| linux-release | OK | 122 | ||
| windows-devel | OK | 92 | ||
| windows-release | OK | 77 | ||
| wasm-release | OK | 110 |
Exports:balanced_controlblupbuild_mmecompare_designsgreedy_allocmake_fs_GMuu_invpev_pairwisereliabilitysim_transgressivesim_wrongG
Dependencies: