Framework for creating and orchestrating data pipelines. Organize, orchestrate, and monitor multiple pipelines in a single project. Use tags to decorate functions with scheduling parameters and configuration.

A bundle of functions for modifying MAESTRA/MAESPA input files,reading output files, and visualizing the stand in 3D. Handy for running sensitivity analyses, scenario analyses, etc.

Interfaces the Python library 'zuko' implementing Masked Autoregressive Flows. See Rozet, Divo and Schnake (2023) <doi:10.5281/zenodo.7625672> and Papamakarios, Pavlakou and Murray (2017) <doi:10.48550/arXiv.1705.07057>.

Data class for increased interoperability working with
    spatial-temporal data together with corresponding functions and
    methods (conversions, basic calculations and basic data manipulation).
    The class distinguishes between spatial, temporal and other dimensions
    to facilitate the development and interoperability of tools build for
    it. Additional features are name-based addressing of data and internal
    consistency checks (e.g. checking for the right data order in
    calculations).

Use a 'glmmkin' class object (GMMAT package) from the null model to perform generalized linear mixed model-based single-variant and variant set main effect tests, gene-environment interaction tests, and joint tests for association, as proposed in Wang et al. (2020) <DOI:10.1002/gepi.22351>.

Provides fast and accurate inference for the parameter estimation problem in Ordinary Differential
    Equations, including the case when there are unobserved system components. Implements the MAGI method
    (MAnifold-constrained Gaussian process Inference) of Yang, Wong, and Kou (2021) <doi:10.1073/pnas.2020397118>.
    A user guide is provided by the accompanying software paper Wong, Yang, and Kou (2024) <doi:10.18637/jss.v109.i04>.

A collection of functions for the manipulation and
 analysis of arbitrarily dimensioned arrays.  The original motivation
 for the package was the development of efficient, vectorized
 algorithms for the creation and investigation of magic squares and
 high-dimensional magic hypercubes.