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Projects in Awesome Lists tagged with factor-analysis

A curated list of projects in awesome lists tagged with factor-analysis .

https://github.com/Heerozh/spectre

GPU-accelerated Factors analysis library and Backtester

algorithmic-trading backtester backtesting factor-analysis quantitative-analysis spectre

Last synced: 22 Mar 2025

https://github.com/EducationalTestingService/factor_analyzer

A Python module to perform exploratory & confirmatory factor analyses.

cfa efa factor-analysis python

Last synced: 07 Sep 2025

https://github.com/educationaltestingservice/factor_analyzer

A Python module to perform exploratory & confirmatory factor analyses.

cfa efa factor-analysis python

Last synced: 14 May 2025

https://github.com/je-suis-tm/machine-learning

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

batch-gradient-descent dbscan em-algorithm expectation-maximization expectation-maximization-algorithm factor-analysis independent-component-analysis k-nearest-neighbors lasso-regression latent-semantic-analysis linear-discriminant-analysis low-rank-approximation multinomial-naive-bayes naive-bayes newton-method ridge-regression sequential-minimal-optimization singular-value-decomposition stochastic-gradient-descent support-vector-machine

Last synced: 09 Apr 2025

https://github.com/inuyasha2012/pypsy

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) .

classical-test-theory cognitive-diagnostic-models computerized-adaptive-testing education factor-analysis item-response-theory psychology psychometrics questionnaire structural-equation-modeling survey

Last synced: 14 Mar 2025

https://github.com/m-clark/miscellaneous-r-code

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**.

additive-models bayesian em factor-analysis gaussian-processes irt jags julia machine-learning matlab mixed-models mixture-model ordinal-regression pca probit python r stan survival-analysis zip

Last synced: 13 Apr 2025

https://github.com/m-clark/Miscellaneous-R-Code

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**.

additive-models bayesian em factor-analysis gaussian-processes irt jags julia machine-learning matlab mixed-models mixture-model ordinal-regression pca probit python r stan survival-analysis zip

Last synced: 14 Mar 2025

https://github.com/wjschne/ggdiagram

Object-oriented diagram plots with ggplot2

diagrams factor-analysis ggplot2 path-analysis r s7 structural-equation-modeling

Last synced: 19 Feb 2026

https://github.com/gregversteeg/LinearCorex

Fast, linear version of CorEx for covariance estimation, dimensionality reduction, and subspace clustering with very under-sampled, high-dimensional data

clustering covariance-matrix factor-analysis information-theory machine-learning python unsupervised-learning

Last synced: 03 May 2025

https://github.com/kieranrcampbell/ouija

Descriptive probabilistic marker gene approach to single-cell pseudotime inference

bayesian-methods factor-analysis gene-expression single-cell

Last synced: 25 Dec 2025

https://github.com/tatevkaren/multivariate-statistics

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)

canonical-correlation-analysis dimensionality-reduction factor-analysis multivariate-analysis multivariate-statistics principal-component-analysis

Last synced: 11 Jul 2025

https://github.com/p-gw/factorrotations.jl

Rotation methods for factor analysis and principal component analysis in Julia

factor-analysis julia psychometrics

Last synced: 09 Mar 2026

https://github.com/kieranrcampbell/mfa

Probabilistic inference of single-cell bifurcations

bifurcation factor-analysis mixture-modelling single-cell

Last synced: 25 Dec 2025

https://github.com/seonghobae/kaefa

# 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

automated-analysis automated-machine-learning automated-reasoning exploratory-data-analysis exploratory-factor-analysis exploratory-ifa factor-analysis machine-unlearning mirt model-selection multilevel-models

Last synced: 04 Apr 2026

https://github.com/copenhaver/factoranalysis

Alternating minimization approach to factor analysis

exploratory-data-analysis factor-analysis optimization

Last synced: 30 Jul 2025

https://github.com/egeminiani/penfa

R package for penalized factor analysis via trust-region algorithm and automatic multiple tuning parameter selection

factor-analysis lasso latent-variables multiple-group optimization penalization psychometrics

Last synced: 22 Oct 2025

https://github.com/alex-markham/medil

mirror of the MeDIL Python package for causal modeling

causal-discovery causal-representation-learning deep-generative-model factor-analysis

Last synced: 27 Apr 2025

https://github.com/jhorzek/mxsem

A lavaan-like syntax for structural equation models with OpenMx

factor-analysis lavaan openmx structural-equation-modeling

Last synced: 29 Jul 2025

https://github.com/teebusch/mifa

An R package providing multiple Imputation of covariance matrices in order to perform factor analysis.

factor-analysis imputation rstats

Last synced: 17 Mar 2025

https://github.com/aru71727/quantum-factoring21

Shor’s algorithm is a quantum algorithm for factoring a number N in O((log N)3) time and O(log N) space,

factor factor-analysis factorization factorization-algorithm python3 quantum quantum-algorithms quantum-computing

Last synced: 16 May 2026

https://github.com/jpritikin/pcfactorstan

Stan Models for the Paired Comparison Factor Model

bayesian-inference factor-analysis paired-comparisons r-package stan

Last synced: 12 Apr 2025

https://github.com/benediktfesl/mfa_cplx

Python implementation of a complex-valued version of the expectation-maximization (EM) algorithm for fitting Mixture of Factor Analyzers (MFA).

complex-valued-data factor-analysis gaussian-mixture-models mixture-model mixture-of-factor-analyzers

Last synced: 06 Oct 2025

https://github.com/hdarjus/sparvaride

Variance Identification for Sparse Factor Analyses

econometrics factor-analysis latent-factors parameter-identification r

Last synced: 17 Apr 2026

https://github.com/earthinversion/exploratory-factor-analysis

Factor Analysis method used to search influential underlying factors or latent variables from a set of observed variables

exploratory-data-analysis factor-analysis

Last synced: 12 Mar 2025

https://github.com/justinjjlee/julia-factoraugmentedvectorar.jl

Implementation of Factor-augmented Vector Autoregressive process (FAVAR(p)).

factor-analysis factorization favar julia time-series time-series-analysis vector-autoregressive

Last synced: 23 Jul 2025

https://github.com/brunomontezano/hclpsychometrics

📊 Contains code used to analyze data about HCL-32 instrument (Hypomania Checklist). Functions related to confirmatory factor analysis and internal consistency.

bipolar-disorder cfa confirmatory-factor-analysis cronbach-alpha factor-analysis open-source psychology psychometrics public-code r

Last synced: 10 Jun 2026

https://github.com/vikascd/netflix-recommender-system

Sistema de recomendación de títulos de Netflix basado en contenido. Incluye filtros por título, género y tipo de contenido (películas o series) con interfaz interactiva en Jupyter Notebook.

dbscan expectation-maximization-algorithm factor-analysis google-colab heroku jupyter-notebook linear-discriminant-analysis matrix-decompositions multinomial-naive-bayes naive-bayes netflix-recommendation-system paper-implementations pearson-correlation support-vector-machine

Last synced: 14 Jul 2025

https://github.com/hdarjus/sparvaride-matlab

Matlab Implementation of Algorithms for Sparse Factor Analyses

econometrics factor-analysis latent-factors matlab parameter-identification

Last synced: 15 May 2026

https://github.com/fabriziomusacchio/dimensionality_reduction

Code used in blog post about dimensionality reduction using Python

autoencoder dimensionality-reduction factor-analysis latent-space latent-variables pca

Last synced: 30 Jun 2025

https://github.com/akansharajput280799/data-driven-insights-into-job-satisfaction-and-compensation-trends

This project analyzes 2020 employee data to identify factors influencing job satisfaction, performance, and salary differences, offering insights for improving engagement and workplace strategies.

cluster-analysis colab-notebook data-cleaning descriptive-statistics factor-analysis hypothesis-testing jupyter-notebook matplotlib python scikit-learn seaborn t-test visualization

Last synced: 18 Apr 2026

https://github.com/gragusa/factotum.jl

A Julia package for estimating static factor models

econometrics factor-analysis julia

Last synced: 17 Jul 2025