multivariate-analysis
There are 7 repositories under multivariate-analysis topic.
- Language:R 483
DynamicsAndNeuralSystems / pyspi
Comparative analysis of pairwise interactions in multivariate time series.
Language:Python 245- mixOmics
mixOmicsTeam / mixOmics
Development repository for the Bioconductor package 'mixOmics '
Language:R 221 - atomai
pycroscopy / atomai
Deep and Machine Learning for Microscopy
Language:Python 214 florencejt / fusilli
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 🌸
Language:Python 197- Language:R 196
- Language:R 95
- FSDA
UniprJRC / FSDA
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.
Language:MATLAB 94 olivertomic / hoggorm
Explorative multivariate statistics in Python
Language:Python 79- chemotools
paucablop / chemotools
Integrate your chemometric tools with the scikit-learn API 🧪 🤖
Language:Python 64 - Language:R 57
nikhils10 / Multivariate-Analysis--Oil-Price-Prediction-Using-LSTM-GRU-
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.
Language:Jupyter Notebook 48mariarizzo / energy
energy package for R
Language:R 47lalvim / PartialLeastSquaresRegressor.jl
Implementation of a Partial Least Squares Regressor
Language:Julia 41ContextLab / timecorr
Estimate dynamic high-order correlations in multivariate timeseries data
Language:Python 40- Language:C# 39
preignition / multi-verse
lit-element components for fast and modular multivariate analysis
Language:JavaScript 37mikewlcheung / metasem
metaSEM package
Language:HTML 33graemeleehickey / joineRML
R package for fitting joint models to time-to-event data and multivariate longitudinal data
Language:R 32AlanRace / SpectralAnalysis
Software for the analysis and interactive exploration of spectral imaging data
Language:MATLAB 31DTUComputeStatisticsAndDataAnalysis / MBPLS
(Multiblock) Partial Least Squares Regression for Python
Language:Python 31gulabpatel / TimeSeries
Arima, Sarima, LSTM, Prophet, DeepAR, Kats, Granger-causality, Autots
Language:Jupyter Notebook 29mshakirDr / MFTE
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.
Language:HTML 29Smars-Bin-Hu / azure-cloud-datapipeline-EDA
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.
azure-data-factoryazure-data-lake-storage-gen2azure-databricksbi-dashboarddata-visualizationdelta-lakeexploratory-data-analysislakehousematplotlibmedallion-architecturemultivariate-analysispysparkseabornspark-sqltableauunity-catalogbatch-and-stream-unificationcloud-native-etlstorage-compute-separationLanguage:Jupyter Notebook 27- Language:Jupyter Notebook 26
corybrunson / ordr
manage ordinations and render biplots in a tidyverse workflow
Language:R 25AndrewLyasoff / SMAP
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).
Language:Jupyter Notebook 23DataSlingers / MoMA
MoMA: Modern Multivariate Analysis in R
Language:R 23nicholasjclark / MRFcov
Markov random fields with covariates
Language:R 23sinanw / lstm-stock-price-prediction
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.
Language:Jupyter Notebook 23- python-fuzzy-cognitve-maps
julzerinos / python-fuzzy-cognitve-maps
Using fuzzy cognitive maps for multivariate data forecasting in Python 3.8.
Language:Python 22 pqrst / ParkinsonsDiseaseDataAnalysis
Parkinson's disease data analysis from uci machine learning repository dataset.
RayDebashree / metaUSAT
metaUSAT is a data-adaptive statistical approach for testing genetic associations of multiple traits from single/multiple studies using univariate GWAS summary statistics.
Language:R 20- Language:Jupyter Notebook 18
JBris / multivariate_analysis_examples
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.
multivariate-analysismultivariate-regressionmultivariate-statisticsmultivariate-linear-regressionmultivariate-datamultivariatemultivariate-distributionsconcretepcapca-analysisfactor-analysiscanonical-correlation-analysisredundancy-analysispartial-least-squares-regressionpartial-least-squaresplsnmdsmdsdimension-reductiondimensionality-reductionLanguage:Python 18Defcon27 / Data-Analysis-of-Indian-Automobile-dataset-using-Machine-Learning-in-R
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.
Language:R 17
