Datasets analysed in the book Antony Unwin (2024, ISBN:978-0367674007) "Getting (more out of) Graphics".

Efficiently manage and process data from 'oTree' experiments.
    Import 'oTree' data and clean them by using functions that handle
    messy data, dropouts, and other problematic cases.  Create IDs,
    calculate the time, transfer variables between app data frames, and
    delete sensitive information.  Review your experimental data prior to
    running the experiment and automatically generate a detailed summary
    of the variables used in your 'oTree' code.  Information on 'oTree' is
    found in Chen, D. L., Schonger, M., & Wickens, C. (2016)
    <doi:10.1016/j.jbef.2015.12.001>.

Multiple Precision Arithmetic (big integers and rationals,
 prime number tests, matrix computation), "arithmetic without limitations"
 using the C library GMP (GNU Multiple Precision Arithmetic).

Symbolic calculation (addition or multiplication) and evaluation of multivariate polynomials with rational coefficients.

Functions for graph matching via nodes' degree profiles are provided in this package. The models we can handle include Erdos-Renyi random graphs and stochastic block models(SBM). More details are in the reference paper: Yaofang Hu, Wanjie Wang and Yi Yu (2020) <arXiv:2006.03284>.

A system for fitting Gompertz Curve in a Time Series Data.

Solves a least squares system Ax~=b (dim(A)=(m,n) with m >= n) with a precondition matrix B: BAx=Bb (dim(B)=(n,m)). Implemented method is based on GMRES (Saad, Youcef; Schultz, Martin H. (1986). "GMRES: A Generalized Minimal Residual Algorithm for Solving Nonsymmetric Linear Systems" <doi:10.1137/0907058>) with callback functions, i.e. no explicit A, B or b are required.

A collection of tools to create, use and maintain modularized model code written in the modeling 
    language 'GAMS' (<https://www.gams.com/>). Out-of-the-box 'GAMS' does not come with support for modularized
    model code. This package provides the tools necessary to convert a standard 'GAMS' model to a modularized one
    by introducing a modularized code structure together with a naming convention which emulates local
    environments. In addition, this package provides tools to monitor the compliance of the model code with
    modular coding guidelines.