an R package for structural equation modeling and more

Interfaces for Multivariate Analysis in R

Deep and Machine Learning for Microscopy

Comparative analysis of pairwise interactions in multivariate time series.

A Python package housing a collection of deep-learning multi-modal data fusion method pipelines! From data loading, to training, to evaluation - fusilli's got you covered 🌸

Development repository for the Bioconductor package 'mixOmics '

Explorative multivariate statistics in Python

An R package for Bayesian structural equation modeling

Flexible Statistics and Data Analysis (FSDA) extends MATLAB for a robust analysis of data sets affected by different sources of heterogeneity. It is open source software licensed under the European Union Public Licence (EUPL). FSDA is a joint project by the University of Parma and the Joint Research Centre of the European Commission.

A collection of Poisson lognormal models for multivariate count data analysis

Comparing Long Term Short Memory (LSTM) & Gated Re-current Unit (GRU) during forecasting of oil price .Exploring multivariate relationships between West Texas Intermediate and S&P 500, Dow Jones Utility Avg, US Dollar Index Futures , US 10 Yr Treasury Bonds , Gold Futures.

Estimate dynamic high-order correlations in multivariate timeseries data

Implementation of a Partial Least Squares Regressor

Integrate your chemometric tools with the scikit-learn API 🧪 🤖

lit-element components for fast and modular multivariate analysis

R package for fitting joint models to time-to-event data and multivariate longitudinal data

(Multiblock) Partial Least Squares Regression for Python

metaSEM package

Software for the analysis and interactive exploration of spectral imaging data