There are 6 repositories under multivariate-analysis topic.
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
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.
Estimate dynamic high-order correlations in multivariate timeseries data
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.
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
Markov random fields with covariates
Julia and Python programs that implement some of the tools described in my book "Stochastic Methods in Asset Pricing" (SMAP), MIT Press 2017 (e.g., the method for computing the price of American call options and the construction of the early exercise premium in the Black-Scholes-Merton framework from section 18.4 in SMAP).
MoMA: Modern Multivariate Analysis in R
manage ordinations and render biplots in a tidyverse workflow
Several examples of multivariate techniques implemented in R, Python, and SAS. Multivariate concrete dataset retrieved from https://archive.ics.uci.edu/ml/datasets/Concrete+Slump+Test. Credit to Professor I-Cheng Yeh.
Using fuzzy cognitive maps for multivariate data forecasting in Python 3.8.
metaUSAT is a data-adaptive statistical approach for testing genetic associations of multiple traits from single/multiple studies using univariate GWAS summary statistics.
Parkinson's disease data analysis from uci machine learning repository dataset.
Python implementation of STATIS for analysis of several data tables
Matlab Wrapper of Surface-based Analysis. Custom Matlab functions for running analyses with FreeSurfer, CoSMoMVPA, HCP pipeline (and SamSrf)...
The project aims to perform various visualizations and provide various insights from the considered Indian automobile dataset by performing data analysis that utilizing machine learning algorithms in R programming language.
R package plsdepot
Bayesian bi-clustering of categorical data