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
[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:
Downloads:
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