Provides genetic tools for colony management and is a derivation
    of the work in Amanda Vinson and Michael J Raboin (2015)
    <https://pmc.ncbi.nlm.nih.gov/articles/PMC4671785/> "A Practical
    Approach for Designing Breeding Groups to Maximize Genetic Diversity in a
    Large Colony of Captive Rhesus Macaques ('Macaca' 'mulatta')".
    It provides a 'Shiny' application with an exposed API.
    The application supports five groups of functions:
    (1) Quality control of studbooks contained in text files or 'Excel'
    workbooks and of pedigrees within 'LabKey' Electronic Health Records
    (EHR);
    (2) Creation of pedigrees from a list of animals using the 'LabKey' EHR
    integration;
    (3) Creation and display of an age by sex pyramid plot of the living
    animals within the designated pedigree;
    (4) Generation of genetic value analysis reports; and
    (5) Creation of potential breeding groups with and without proscribed sex
    ratios and defined maximum kinships.

Partial informational correlation (PIC) is used to identify the meaningful predictors to the response from a large set of potential predictors. Details of methodologies used in the package can be found in Sharma, A., Mehrotra, R. (2014). <doi:10.1002/2013WR013845>, Sharma, A., Mehrotra, R., Li, J., & Jha, S. (2016). <doi:10.1016/j.envsoft.2016.05.021>, and Mehrotra, R., & Sharma, A. (2006). <doi:10.1016/j.advwatres.2005.08.007>.

Multiple and generalized nonparametric regression using smoothing spline ANOVA models and generalized additive models, as described in Helwig (2020) <doi:10.4135/9781526421036885885>. Includes support for Gaussian and non-Gaussian responses, smoothers for multiple types of predictors (including random intercepts), interactions between smoothers of mixed types, eight different methods for smoothing parameter selection, and flexible tools for diagnostics, inference, and prediction.

Estimating the first and second derivatives of a regression function by the method of Wang and Lin (2015) <http://www.jmlr.org/papers/v16/wang15b.html>.