Topic: factor-analysis Goto Github
Some thing interesting about factor-analysis
Some thing interesting about factor-analysis
factor-analysis,This repository contains materials associated to the course "Multivariate Analysis" taught at the Faculty of Mathematics and Statistics (FME), UPC under the MESIO-UPC-UB Interuniversity Program under the instructors "Ferran Revertar", "Miguel Salicru" and "Jan Graffelman"
User: ankitbit
factor-analysis,Market Mix Modelling for an eCommerce firm to estimate the impact of various marketing levers on sales
User: ashish-kamboj
factor-analysis,Dynamic factor modeling to uncover the key latent factors driving the price behavior of some of the largest American large-cap equities. We examine how these factors affect individual stock prices, what they represent, and how they have fluctuated in the sample period. As published in the Data Driven Investor on Medium.com.
User: at-tan
factor-analysis,The code for Generative Locally Linear Embedding (GLLE).
User: bghojogh
Home Page: https://arxiv.org/abs/2104.01525
factor-analysis,Multi-Omics Factor Analysis
Organization: biofam
Home Page: https://biofam.github.io/MOFA2/
factor-analysis,Factor Analysis Kit
User: bmcmenamin
factor-analysis,Factor Modeling for radiomics
User: cfwp
factor-analysis,Deep learning-based estimation and inference for item response theory models.
User: cjurban
factor-analysis,Alternating minimization approach to factor analysis
User: copenhaver
factor-analysis,Inference for Gaussian copula factor models and its application to causal discovery.
User: cuiruifei
factor-analysis,An R package for Bayesian structural equation modeling
User: ecmerkle
Home Page: https://ecmerkle.github.io/blavaan
factor-analysis,A Python module to perform exploratory & confirmatory factor analyses.
Organization: educationaltestingservice
factor-analysis,R package for penalized factor analysis via trust-region algorithm and automatic multiple tuning parameter selection
User: egeminiani
Home Page: https://egeminiani.github.io/penfa/
factor-analysis,Fast, linear version of CorEx for covariance estimation, dimensionality reduction, and subspace clustering with very under-sampled, high-dimensional data
User: gregversteeg
factor-analysis,An R package for Bayesian structural equation modeling using INLA
User: haziqj
factor-analysis,GPU-accelerated Factors analysis library and Backtester
User: heerozh
factor-analysis,psychometrics package, including MIRT(multidimension item response theory), IRT(item response theory),GRM(grade response theory),CAT(computerized adaptive testing), CDM(cognitive diagnostic model), FA(factor analysis), SEM(Structural Equation Modeling) .
User: inuyasha2012
factor-analysis,Repository for the Textbook: "Principles of Psychological Assessment: With Applied Examples in R"
User: isaactpetersen
Home Page: https://isaactpetersen.github.io/Principles-Psychological-Assessment/
factor-analysis,An R package for Bayesian structural equation models that account for the influence of minor factors
User: jamesuanhoro
Home Page: https://jamesuanhoro.github.io/minorbsem/
factor-analysis,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.
User: jbris
factor-analysis,Python machine learning applications in image processing, recommender system, matrix completion, netflix problem and algorithm implementations including Co-clustering, Funk SVD, SVD++, Non-negative Matrix Factorization, Koren Neighborhood Model, Koren Integrated Model, Dawid-Skene, Platt-Burges, Expectation Maximization, Factor Analysis, ISTA, FISTA, ADMM, Gaussian Mixture Model, OPTICS, DBSCAN, Random Forest, Decision Tree, Support Vector Machine, Independent Component Analysis, Latent Semantic Indexing, Principal Component Analysis, Singular Value Decomposition, K Nearest Neighbors, K Means, Naïve Bayes Mixture Model, Gaussian Discriminant Analysis, Newton Method, Coordinate Descent, Gradient Descent, Elastic Net Regression, Ridge Regression, Lasso Regression, Least Squares, Logistic Regression, Linear Regression
User: je-suis-tm
Home Page: https://je-suis-tm.github.io/machine-learning
factor-analysis,Transparent and Efficient Financial Analysis
User: jerbouma
Home Page: https://www.jeroenbouma.com/projects/financetoolkit
factor-analysis,An workflow in factor-based equity trading, including factor analysis and factor modeling. For well-established factor models, I implement APT model, BARRA's risk model and dynamic multi-factor model in this project.
User: jerryxyx
factor-analysis,A lavaan-like syntax for structural equation models with OpenMx
User: jhorzek
Home Page: https://jhorzek.github.io/mxsem/
factor-analysis,Sparse Bayesian Multidimensional Item Response Theory
User: jiguangli
factor-analysis,Infinite Mixtures of Infinite Factor Analysers
User: keefe-murphy
factor-analysis,Probabilistic inference of single-cell bifurcations
User: kieranrcampbell
factor-analysis,Descriptive probabilistic marker gene approach to single-cell pseudotime inference
User: kieranrcampbell
Home Page: http://kieranrcampbell.github.io/ouija
factor-analysis,k-fold cross validation for factor analysis
User: knickodem
factor-analysis,PCA, Factor Analysis, CCA, Sparse Covariance Matrix Estimation, Imputation, Multiple Hypothesis Testing
User: luca590
factor-analysis,Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms. **Superseded by the models-by-example repo**.
User: m-clark
factor-analysis,Scalable Ultra-Sparse Bayesian PCA
Organization: mancusolab
Home Page: https://mancusolab.github.io/susiepca/
factor-analysis,Fit exploratory factor models and bi-factor models with multiple general factors.
User: marcosjnez
factor-analysis,:crown: Multivariate exploratory data analysis in Python — PCA, CA, MCA, MFA, FAMD, GPA
User: maxhalford
Home Page: https://maxhalford.github.io/prince
factor-analysis,A Java library for classical test theory, item response theory, factor analysis, and other measurement techniques. It provide tools commonly used in psychometrics and operational testing programs.
User: meyerjp3
factor-analysis,Codebase for Cross-Spectral Factor Analysis (Gallagher et al., 2017)
User: neil-gallagher
factor-analysis,Application and data for analyzing and structuring portfolios for climate investing.
Organization: opentaps
Home Page: https://climate-investing-book.opensourcestrategies.com/v/main/book
factor-analysis,Rotation methods for factor analysis and principal component analysis in Julia
User: p-gw
Home Page: https://p-gw.github.io/FactorRotations.jl/
factor-analysis,多因子指数增强策略/多因子全流程实现
User: phonegapx
Home Page: http://phonegap.me/post/66.html
factor-analysis,Alpha研究平台
User: phonegapx
factor-analysis,The goal of this project is to understand and build various dimensionality reduction techniques.
User: pradnya1208
factor-analysis,From the given database Find out the personality using this personality traits. Applications in psychology Factor analysis has been used in the study of human intelligence and human personality as a method for comparing the outcomes of (hopefully) objective tests and to construct matrices to define correlations between these outcomes, as well as finding the factors for these results. The field of psychology that measures human intelligence using quantitative testing in this way is known as psychometrics (psycho=mental, metrics=measurement). Advantages 1)Offers a much more objective method of testing traits such as intelligence in humans 2)Allows for a satisfactory comparison between the results of intelligence tests 3)Provides support for theories that would be difficult to prove otherwise
User: sagar-darji
factor-analysis,# kaefa kwangwoon automated exploratory factor analysis for improving research capability to identify unexplained factor structure with complexly cross-classified multilevel structured data in R environment
User: seonghobae
factor-analysis,Case Study in ranking U.S. cities based on a single linear combination of rating variables. Dimensionality techniques used in the analysis are Principal Component Analysis (PCA), Factor Analysis (FA), Canonical Correlation Analysis (CCA)
User: tatevkaren
factor-analysis,R package that performs sparse factor analysis and differential gene expression discovery simultaneously on single-cell CRISPR screening data.
Organization: xinhe-lab
Home Page: https://xinhe-lab.github.io/GSFA/
factor-analysis,R package for factor analysis visualization
User: xmc2
factor-analysis,Analyzing the historical cryptocurrency trading dataset, to portrait its dynamic landscape and dig into features of crypt currencies to figure out if any patterns in their price movement.
User: yashajoshi
factor-analysis,Unsupervised learning coupled with applied factor analysis to the five-factor model (FFM), a taxonomy for personality traits used to describe the human personality and psyche, via descriptors of common language and not on neuropsychological experiments. Used kmeans clustering and feature scaling (min-max normalization).
User: yasphp
factor-analysis,an R package for structural equation modeling and more
User: yrosseel
Home Page: http://lavaan.org
factor-analysis,Quasar Factor Analysis – An Unsupervised and Probabilistic Quasar Continuum Prediction Algorithm with Latent Factor Analysis
User: zechangsun
Home Page: https://arxiv.org/abs/2211.11784
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