Package: MasterBayes
Title: Maximum Likelihood and Markov Chain Monte Carlo (MCMC) Methods
        for Pedigree Reconstruction and Analysis
Version: 2.59
Depends: coda, genetics, gtools, kinship2
Imports: methods, stats
Date: 2026-03-13
Authors@R: c(
    person("Jarrod","Hadfield",
           email    = "j.hadfield@ed.ac.uk",
           role     = c("aut", "cre")),
    person("Andrew D.", "Martin",
           role    = c("ctb", "cph"),
           comment = "Original author of modified C++ Scythe code"),
    person("Kevin M.", "Quinn",
           role    = c("ctb", "cph"),
           comment = "Original author of modified C++ Scythe code"),
    person("Daniel",  "Pemstein",
           role    = c("ctb", "cph"),
           comment = "Original author of modified C++ Scythe code"))
Maintainer: Jarrod Hadfield <j.hadfield@ed.ac.uk>
Description: The primary aim of 'MasterBayes' is to use Markov chain Monte Carlo (MCMC) techniques to integrate over uncertainty in pedigree configurations estimated from molecular markers and phenotypic data (Hadfield et al. (2006) <doi:10.1111/j.1365-294X.2006.03050.x>).  Emphasis is put on the marginal distribution of parameters that relate the phenotypic data to the pedigree. All simulation is done in compiled 'C++' for efficiency.
License: GPL (>= 2)
NeedsCompilation: yes
Packaged: 2026-03-13 10:29:06 UTC; jhadfiel
Author: Jarrod Hadfield [aut, cre],
  Andrew D. Martin [ctb, cph] (Original author of modified C++ Scythe
    code),
  Kevin M. Quinn [ctb, cph] (Original author of modified C++ Scythe code),
  Daniel Pemstein [ctb, cph] (Original author of modified C++ Scythe
    code)
Repository: CRAN
Date/Publication: 2026-03-19 13:20:19 UTC
Built: R 4.5.3; x86_64-w64-mingw32; 2026-03-22 00:57:24 UTC; windows
Archs: x64
