an R package for structural equation modeling and more

Comparative analysis of pairwise interactions in multivariate time series.

Development repository for the Bioconductor package 'mixOmics '

Deep and Machine Learning for Microscopy

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 🌸

Interfaces for Multivariate Analysis in R

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.

An R package for Bayesian structural equation modeling

A cloud-native data pipeline and visualization project analyzing Formula 1 racing data using Azure, Databricks, Delta Lake, Tableau, and Python for insightful EDA and interactive dashboards.

Explorative multivariate statistics in Python

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

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.

energy package for R

Estimate dynamic high-order correlations in multivariate timeseries data

A numerical computation library for C#

Implementation of a Partial Least Squares Regressor

lit-element components for fast and modular multivariate analysis

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

Arima, Sarima, LSTM, Prophet, DeepAR, Kats, Granger-causality, Autots

(Multiblock) Partial Least Squares Regression for Python

metaSEM package

Software for the analysis and interactive exploration of spectral imaging data

MFTE (Multi Feature Tagger of English) Python is the Python version based on Le Foll's MFTE written in Perl. It is extended to include semantic tags from Biber (2006) and Biber et al. (1999), including other specific tags.

This project implements a time series multivariate analysis using RNN/LSTM for stock price predictions. A deep RNN model was created and trained on five years of historical Google stock price data to forecast the stock performance over a two-month period.

manage ordinations and render biplots in a tidyverse workflow

No description provided.

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).

Markov random fields with covariates

MoMA: Modern Multivariate Analysis in R