Focuses on data processing and visualization in hydrology and
    climate forecasting. Main function includes data extraction, data downscaling,
    data resampling, gap filler of precipitation, bias correction of forecasting
    data, flexible time series plot, and spatial map generation. It is a good pre-
    processing and post-processing tool for hydrological and hydraulic modellers.

Facilitates the analysis and evaluation of hydrologic model output and 
    time-series data with functions focused on comparison of modeled (simulated) and observed data, 
    period-of-record statistics, and trends.

High level functions for hyperplane fitting (hyper.fit()) and visualising (hyper.plot2d() / hyper.plot3d()). In simple terms this allows the user to produce robust 1D linear fits for 2D x vs y type data, and robust 2D plane fits to 3D x vs y vs z type data. This hyperplane fitting works generically for any N-1 hyperplane model being fit to a N dimension dataset. All fits include intrinsic scatter in the generative model orthogonal to the hyperplane.

An interactive HTML widget of the perspective plot for generalized additive models.  An alternative solution of the function mgcv::vis.gam().  This R package author has retired from academic research. Accordingly, this package should not be considered a validated tool for use in peer-reviewed publications or as the basis for grant applications.  Backward compatibility with user-code published in <doi:10.1093/bioinformatics/btaf182> and <doi:10.1093/bioinformatics/btaf430> is not maintained in versions >= 0.3.0 of this package. The authors of those publications are the appropriate contacts for reproducibility inquiries.

A suite of routines for the hyperdirichlet distribution
   and reified Bradley-Terry; supersedes the 'hyperdirichlet' package;
   uses 'disordR' discipline <doi:10.48550/ARXIV.2210.03856>.  To cite
   in publications please use Hankin 2017 <doi:10.32614/rj-2017-061>,
   and for Generalized Plackett-Luce likelihoods use Hankin 2024
   <doi:10.18637/jss.v109.i08>.