Additive Bayesian Networks
Additive Bayesian Networks - Published in JOSS (2024)
https://github.com/brandmaier/semtree
Recursive Partitioning for Structural Equation Models
plantago-bace
Analyses from Orians et al. 2019 https://doi.org/10.1093/aob/mcz004
multivar_horner
multivar_horner: A Python package for computing Horner factorisations of multivariate polynomials - Published in JOSS (2020)
memts
R package implementing Multivariate Error Measures for time series forecasting
micompm
micompm: A MATLAB/Octave toolbox for multivariate independent comparison of observations - Published in JOSS (2018)
mm4benchmark
R package implementing the multivariate (multi-univariate) extension of the benchmarks used for the M
https://github.com/eonu/sequentia
Scikit-Learn compatible HMM and DTW based sequence machine learning algorithms in Python.
https://github.com/predict-idlab/tsflex
Flexible time series feature extraction & processing
https://github.com/viraltux/forecast.jl
Julia package containing utilities intended for Time Series analysis.
extendeddfml
R package implementing the Extended Dynamic Factor Machine Learner multivariate forecasting method