multivariate-analysis
There are 310 repositories under multivariate-analysis topic.
yrosseel/lavaan
an R package for structural equation modeling and more
DynamicsAndNeuralSystems/pyspi
Comparative analysis of pairwise interactions in multivariate time series.
pycroscopy/atomai
Deep and Machine Learning for Microscopy
juba/explor
Interfaces for Multivariate Analysis in R
mixOmicsTeam/mixOmics
Development repository for the Bioconductor package 'mixOmics '
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 🌸
ecmerkle/blavaan
An R package for Bayesian structural equation modeling
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.
olivertomic/hoggorm
Explorative multivariate statistics in Python
PLN-team/PLNmodels
A collection of Poisson lognormal models for multivariate count data analysis
paucablop/chemotools
Integrate your chemometric tools with the scikit-learn API 🧪 🤖
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.
mariarizzo/energy
energy package for R
lalvim/PartialLeastSquaresRegressor.jl
Implementation of a Partial Least Squares Regressor
ContextLab/timecorr
Estimate dynamic high-order correlations in multivariate timeseries data
preignition/multi-verse
lit-element components for fast and modular multivariate analysis
DTUComputeStatisticsAndDataAnalysis/MBPLS
(Multiblock) Partial Least Squares Regression for Python
graemeleehickey/joineRML
R package for fitting joint models to time-to-event data and multivariate longitudinal data
mikewlcheung/metasem
metaSEM package
AlanRace/SpectralAnalysis
Software for the analysis and interactive exploration of spectral imaging data
sinshu/numflat
A numerical computation library for C#
nicholasjclark/MRFcov
Markov random fields with covariates
AndrewLyasoff/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).
DataSlingers/MoMA
MoMA: Modern Multivariate Analysis in R
julzerinos/python-fuzzy-cognitve-maps
Using fuzzy cognitive maps for multivariate data forecasting in Python 3.8.
corybrunson/ordr
manage ordinations and render biplots in a tidyverse workflow
mshakirDr/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.
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.
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.
gmrandazzo/QStudioMetrics
A Comprehensive Software for Data Mining and Multivariate Analysis
gulabpatel/TimeSeries
Arima, Sarima, LSTM, Prophet, DeepAR, Kats, Granger-causality, Autots
ApirsAL/GeoReVi
Geological Reservoir Virtualization
Defcon27/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.
gisgyf/OMGD
Optimal Multivariate-stratification Geographical Detector model