Functions are provided that facilitate the analysis of SNP 
    (single nucleotide polymorphism) data to answer questions regarding 
    captive breeding and relatedness between individuals. 'dartR.captive' 
    is part of the 'dartRverse' suit of packages.
    Gruber et al. (2018) <doi:10.1111/1755-0998.12745>.
    Mijangos et al. (2022) <doi:10.1111/2041-210X.13918>.

Data package for 'dartR'. Provides data sets to run examples in 'dartR'. 
     This was necessary due to the size limit imposed by 'CRAN'. The data in 'dartR.data'
     is needed to run the examples provided in the 'dartR' functions. 
     All available data sets are either based on actual data (but reduced in size) 
     and/or simulated data sets to allow the fast execution of examples and demonstration 
     of the functions.

Facilitates the analysis of SNP (single nucleotide polymorphism) 
    and silicodart (presence/absence) data. 'dartR.popgen' provides a suit of 
    functions to analyse such data in a population genetics context. It provides
    several functions to calculate population genetic metrics and to study 
    population structure. Quite a few functions need additional software to be 
    able to run (gl.run.structure(), gl.blast(), gl.LDNe()). You find detailed description 
    in the help pages how to download and link the packages so the function can 
    run the software. 'dartR.popgen' is part of the the 'dartRverse' suit of packages.
    Gruber et al. (2018) <doi:10.1111/1755-0998.12745>.
    Mijangos et al. (2022) <doi:10.1111/2041-210X.13918>.

Identifies, filters and exports sex linked markers using 'SNP' 
    (single nucleotide polymorphism) data. To install the other packages, we 
    recommend to install the 'dartRverse' package, that supports the installation of all packages in the 'dartRverse'.
    If you want understand the applied rational to identify sexlinked markers 
    and/or want to cite 'dartR.sexlinked', you find the information by typing 
    citation('dartR.sexlinked') in the console.