A novel mediation analysis approach to address zero-inflated mediators containing true zeros and false zeros. See Jiang et al (2023) "A Novel Causal Mediation Analysis Approach for Zero-Inflated Mediators" <arXiv:2301.10064> for more details.

Supports the generation of parallelogram, equilateral
    triangle, regular hexagon, isosceles trapezoid, Koch snowflake,
    'hexaflake', Sierpinski triangle, Sierpinski carpet and Sierpinski
    trapezoid mazes via 'TurtleGraphics'. Mazes are generated by the recursive method:
    the domain is divided into sub-domains in which mazes are generated,
    then dividing lines with holes are drawn between them, see
    J. Buck, Recursive Division, <http://weblog.jamisbuck.org/2011/1/12/maze-generation-recursive-division-algorithm>.

Methods for calculating and testing the significance of
  pairwise monotonic association from and based on the work of
  Pimentel (2009) <doi:10.4135/9781412985291.n2>. Computation of association of vectors from one
  or multiple sets can be performed in parallel thanks to the
  packages 'foreach' and 'doMC'.

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>.