multivariate-analysis

an R package for structural equation modeling and more

Interfaces for Multivariate Analysis in R

Deep and Machine Learning for Microscopy

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

lit-element components for fast and modular multivariate analysis

Estimate dynamic high-order correlations in multivariate timeseries data

Implementation of a Partial Least Squares Regressor

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

metaSEM package

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.

(Multiblock) Partial Least Squares Regression for Python

Markov random fields with covariates

Software for the analysis and interactive exploration of spectral imaging data

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