dmm: Dyadic Mixed Model for Pedigree Data

Mixed model analysis for quantitative genetics with multi-trait responses and pedigree-based partitioning of individual variation into a range of environmental and genetic variance components for individual and maternal effects. Method documented in dmmOverview.pdf; dmm is an implementation of dispersion mean model described by Searle et al. (1992) "Variance Components", Wiley, NY. Dmm() can do 'MINQUE', 'bias-corrected-ML', and 'REML' variance and covariance component estimates.

Version: 3.2-2
Depends: MASS, Matrix, robustbase, pls, nadiv
Imports: stats, graphics, grDevices
Published: 2025-08-20
Author: Neville Jackson ORCID iD [aut, cre]
Maintainer: Neville Jackson <nanddjackson at bigpond.com>
License: GPL-2 | GPL-2 | GPL-3 | GPL-3 [expanded from: GPL-2 | GPL (≥ 2) | GPL-3]
NeedsCompilation: no
CRAN checks: dmm results

Documentation:

Reference manual: dmm.html , dmm.pdf

Downloads:

Package source: dmm_3.2-2.tar.gz
Windows binaries: r-devel: dmm_3.2-2.zip, r-release: dmm_3.2-2.zip, r-oldrel: dmm_3.2-2.zip
macOS binaries: r-release (arm64): dmm_3.2-2.tgz, r-oldrel (arm64): dmm_3.2-2.tgz, r-release (x86_64): dmm_3.2-2.tgz, r-oldrel (x86_64): dmm_3.2-2.tgz
Old sources: dmm archive

Linking:

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