Package: dmm
Type: Package
Title: Dyadic Mixed Model for Pedigree Data
Version: 3.2-2
Date: 2025-08-20
Authors@R: c(person("Neville", "Jackson", role = c("aut", "cre"),
                     email = "nanddjackson@bigpond.com",
                     comment = c(ORCID = "0000-0002-1820-9609")))
Author: Neville Jackson [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-1820-9609>)
Maintainer: Neville Jackson <nanddjackson@bigpond.com>
Description: 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.
Depends: MASS, Matrix, robustbase, pls, nadiv
Imports: stats, graphics, grDevices
License: GPL-2 | GPL (>= 2) | GPL-3
NeedsCompilation: no
Packaged: 2025-08-20 03:38:13 UTC; nevj
Repository: CRAN
Date/Publication: 2025-08-20 04:30:02 UTC
Built: R 4.6.0; ; 2026-03-10 03:20:33 UTC; windows
