Functionality for generating and plotting random mazes. The mazes are based on matrices, so can only consist of vertical and horizontal lines along a regular grid. But there is no need to use every possible space, so they can take on many different shapes.

A new way to predict time series using the marginal distribution table in the absence of the significance of traditional models.

Functions to interpolate irregularly and regularly spaced data using Multilevel B-spline Approximation (MBA). Functions call portions of the SINTEF Multilevel B-spline Library written by Øyvind Hjelle which implements methods developed by Lee, Wolberg and Shin (1997; <doi:10.1109/2945.620490>).

Exploratory and predictive methods for the analysis of several blocks of variables measured on the same individuals.

Uses several Nonlinear Mixed effect (NONMEM) models (as NONMEM control files)
    to perform bootstrap model averaging and Monte Carlo Simulation for Model Based 
    Bio-Equivalence (MBBE). Power is returned as the fraction of the simulations with 
    successful bioequivalence (BE) test, for maximum concentration (Cmax), Area under the 
    curve to the last observed value (AUClast) and Area under the curve extrapolate to 
    infinity (AUCinf). See Hooker, A. (2020) Improved bioequivalence assessment through 
    model-informed and model-based strategies <https://www.fda.gov/media/138035/download>.

Distributions that are typically used for exposure rating in
             general insurance, in particular to price reinsurance contracts.
             The vignette shows code snippets to fit the distribution to
             empirical data. See, e.g., Bernegger (1997) <doi:10.2143/AST.27.1.563208>
             freely available on-line.

Calibrate and apply multivariate bias correction algorithms
    for climate model simulations of multiple climate variables. Three methods
    described by Cannon (2016) <doi:10.1175/JCLI-D-15-0679.1> and 
    Cannon (2018) <doi:10.1007/s00382-017-3580-6> are implemented —
    (i) MBC Pearson correlation (MBCp), (ii) MBC rank correlation (MBCr),
    and (iii) MBC N-dimensional PDF transform (MBCn) — as is the Rank
    Resampling for Distributions and Dependences (R2D2) method.