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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.
Getting started
Browse package contents
Package details |
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| Author | Neville Jackson [aut, cre] (ORCID: <https://orcid.org/0000-0002-1820-9609>) |
| Maintainer | Neville Jackson <nanddjackson@bigpond.com> |
| License | GPL-2 | GPL (>= 2) | GPL-3 |
| Version | 3.2-2 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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