For biparental, three and four-way crosses Identity by Descent 
    (IBD) probabilities can be calculated using Hidden Markov Models and 
    inheritance vectors following Lander and Green
    (<https://www.jstor.org/stable/29713>) and Huang
    (<doi:10.1073/pnas.1100465108>). One of a series of statistical genetic 
    packages for streamlining the analysis of typical plant breeding experiments
    developed by Biometris.

For Multi Parent Populations (MPP) Identity By Descend (IBD) 
    probabilities are computed using Hidden Markov Models. These probabilities 
    are then used in a mixed model approach for QTL Mapping as described in 
    Li et al. (<doi:10.1007/s00122-021-03919-7>).

Fast multi-trait and multi-trail Genome Wide Association Studies 
    (GWAS) following the method described in Zhou and Stephens. (2014), 
    <doi:10.1038/nmeth.2848>. One of a series of statistical genetic packages 
    for streamlining the analysis of typical plant breeding experiments 
    developed by Biometris.

Phenotypic analysis of field trials using mixed models with and 
    without spatial components. One of a series of statistical genetic packages 
    for streamlining the analysis of typical plant breeding experiments developed
    by Biometris.    
    Some functions have been created to be used in conjunction with the R 
    package 'asreml' for the 'ASReml' software, which can be obtained upon 
    purchase from 'VSN' international (<https://vsni.co.uk/software/asreml-r/>).

Contains statistical methods to analyze graphs, such as graph parameter estimation, 
    model selection based on the Graph Information Criterion, statistical tests to discriminate two or more populations of graphs, 
    correlation between graphs, and clustering of graphs.
    References: Takahashi et al. (2012) <doi:10.1371/journal.pone.0049949>, Fujita et al. (2017) <doi:10.3389/fnins.2017.00066>,
    Fujita et al. (2017) <doi:10.1016/j.csda.2016.11.016>, Fujita et al. (2019) <doi:10.1093/comnet/cnz028>.