an R package for structural equation modeling and more
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Updated
May 16, 2024 - R
an R package for structural equation modeling and more
Github repo for my in-progress book, "Visualizing Multivariate Data and Models in R"
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 🌸
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.
Welcome to my data analysis projects repository! Here, you'll find a collection of my data analysis projects showcasing my skills in extracting insights from data using various tools and techniques.
Social Media Analysis using multivariate analysis in a Rutgers Business School Classroom
Explore the H1B Visa data from 2014 through a comprehensive multivariate analysis.
电子科技大学 2020 级《多元统计分析》课程代码。
A numerical computation library for C#
Integrate your chemometric tools with the scikit-learn API 🧪 🤖
Exploratory Data Analysis in SciViews::R
This repository holds my final year Data Science Individual Project (dissertation). I experiment with Neural Networks and Multivariate Logistical Regression to assess if ML is capable of being used within the NBA draft
Comparative analysis of pairwise interactions in multivariate time series.
This is the place where I profile my work and share it with like-minded people.
Tasks for Multivariate Data Analysis Course @ ITMO University
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.
A collection of Poisson lognormal models for multivariate count data analysis
R package for double constrained correspondence analysis with CWM-SNC scatter plots
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