factor-analysis | Topic | Ecosyste.ms: Repos

Topic: "factor-analysis"

JerBouma/FinanceToolkit

Transparent and Efficient Financial Analysis

Language: Python - Size: 227 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 3,523 - Forks: 410

MaxHalford/prince

:crown: Multivariate exploratory data analysis in Python — PCA, CA, MCA, MFA, FAMD, GPA

Language: Python - Size: 8.34 MB - Last synced at: 13 days ago - Pushed at: about 2 months ago - Stars: 1,340 - Forks: 184

Heerozh/spectre

GPU-accelerated Factors analysis library and Backtester

Language: Python - Size: 3.35 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 680 - Forks: 114

yrosseel/lavaan

an R package for structural equation modeling and more

Language: R - Size: 9.56 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 456 - Forks: 106

bioFAM/MOFA2

Multi-Omics Factor Analysis

Language: R - Size: 162 MB - Last synced at: 23 days ago - Pushed at: 10 months ago - Stars: 326 - Forks: 56

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.

Language: Jupyter Notebook - Size: 10.1 MB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 275 - Forks: 125

EducationalTestingService/factor_analyzer

A Python module to perform exploratory & confirmatory factor analyses.

Language: Python - Size: 4.89 MB - Last synced at: about 15 hours ago - Pushed at: 3 months ago - Stars: 249 - Forks: 69

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

Language: Jupyter Notebook - Size: 7.84 MB - Last synced at: 16 days ago - Pushed at: over 2 years ago - Stars: 234 - Forks: 51

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) .

Language: Python - Size: 189 KB - Last synced at: 7 months ago - Pushed at: over 6 years ago - Stars: 215 - Forks: 71

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**.

Language: R - Size: 11.2 MB - Last synced at: 13 days ago - Pushed at: over 4 years ago - Stars: 196 - Forks: 82

phonegapX/alphasickle

多因子指数增强策略/多因子全流程实现

Language: Python - Size: 5.74 MB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 170 - Forks: 93

ecmerkle/blavaan

An R package for Bayesian structural equation modeling

Language: R - Size: 266 MB - Last synced at: 10 days ago - Pushed at: about 1 month ago - Stars: 93 - Forks: 22

meyerjp3/psychometrics

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.

Language: Java - Size: 10.8 MB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 89 - Forks: 44

opentaps/open-climate-investing

Application and data for analyzing and structuring portfolios for climate investing.

Language: JavaScript - Size: 39.6 MB - Last synced at: about 7 hours ago - Pushed at: over 2 years ago - Stars: 49 - Forks: 14

gregversteeg/LinearCorex

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

Language: Python - Size: 25.2 MB - Last synced at: about 1 month ago - Pushed at: over 4 years ago - Stars: 43 - Forks: 13

ashish-kamboj/Market-Mix-Modeling

Market Mix Modelling for an eCommerce firm to estimate the impact of various marketing levers on sales

Language: R - Size: 5.05 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 35 - Forks: 28

wjschne/ggdiagram

Object-oriented diagram plots with ggplot2

Language: R - Size: 49.8 MB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 32 - Forks: 0

kieranrcampbell/ouija

Descriptive probabilistic marker gene approach to single-cell pseudotime inference

Language: R - Size: 9.05 MB - Last synced at: 17 days ago - Pushed at: over 5 years ago - Stars: 28 - Forks: 3

mancusolab/susiepca

Scalable Ultra-Sparse Bayesian PCA

Language: Python - Size: 207 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 21 - Forks: 5

cjurban/deepirtools

Deep learning-based estimation and inference for item response theory models.

Language: Python - Size: 13.8 MB - Last synced at: 5 days ago - Pushed at: 6 months ago - Stars: 20 - Forks: 4

Sagar-Darji/Personality-prediction

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

Language: Jupyter Notebook - Size: 382 KB - Last synced at: about 1 year ago - Pushed at: about 4 years ago - Stars: 19 - Forks: 5

bmcmenamin/fa_kit

Factor Analysis Kit

Language: Python - Size: 2.53 MB - Last synced at: 13 days ago - Pushed at: about 7 years ago - Stars: 19 - Forks: 5

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.

Language: Python - Size: 40 KB - Last synced at: 17 days ago - Pushed at: 5 months ago - Stars: 18 - Forks: 3

cuiruifei/CopulaFactorModel

Inference for Gaussian copula factor models and its application to causal discovery.

Language: R - Size: 101 KB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 13 - Forks: 8

xinhe-lab/GSFA

R package that performs sparse factor analysis and differential gene expression discovery simultaneously on single-cell CRISPR screening data.

Language: C++ - Size: 1.32 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 12 - Forks: 1

ZechangSun/QFA

Quasar Factor Analysis – An Unsupervised and Probabilistic Quasar Continuum Prediction Algorithm with Latent Factor Analysis

Language: Jupyter Notebook - Size: 9.31 MB - Last synced at: 5 months ago - Pushed at: over 1 year ago - Stars: 11 - Forks: 1

bghojogh/Generative-LLE

The code for Generative Locally Linear Embedding (GLLE).

Language: Python - Size: 34.8 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 11 - Forks: 1

neil-gallagher/CSFA

Codebase for Cross-Spectral Factor Analysis (Gallagher et al., 2017)

Language: MATLAB - Size: 259 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 11 - Forks: 6

CFWP/FMradio

Factor Modeling for radiomics

Language: R - Size: 141 KB - Last synced at: 22 days ago - Pushed at: over 4 years ago - Stars: 11 - Forks: 4

bioFAM/mofaflex

factor models for omics data

Language: Python - Size: 161 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 10 - Forks: 1

luca590/High-Dimensional-Statistics

PCA, Factor Analysis, CCA, Sparse Covariance Matrix Estimation, Imputation, Multiple Hypothesis Testing

Language: R - Size: 10.3 MB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 10 - Forks: 4

YasPHP/The-Five-Factor-Personality-Test

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).

Language: Jupyter Notebook - Size: 232 KB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 10 - Forks: 4

phonegapX/sustecher

Alpha研究平台

Language: Python - Size: 310 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 9 - Forks: 8

Marcosjnez/bifactor

Fit exploratory factor models and bi-factor models with multiple general factors.

Language: C++ - Size: 6.17 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 8 - Forks: 0

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)

Language: R - Size: 800 KB - Last synced at: 16 days ago - Pushed at: about 4 years ago - Stars: 8 - Forks: 2

xmc2/FAtools

R package for factor analysis visualization

Language: R - Size: 298 KB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 8 - Forks: 6

p-gw/FactorRotations.jl

Rotation methods for factor analysis and principal component analysis in Julia

Language: Julia - Size: 917 KB - Last synced at: 3 days ago - Pushed at: 7 months ago - Stars: 7 - Forks: 2

isaactpetersen/Principles-Psychological-Assessment

Repository for the Textbook: "Principles of Psychological Assessment: With Applied Examples in R"

Language: TeX - Size: 3.36 GB - Last synced at: 7 days ago - Pushed at: 8 days ago - Stars: 6 - Forks: 3

knickodem/kfa

k-fold cross validation for factor analysis

Language: HTML - Size: 8.37 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 6 - Forks: 1

Keefe-Murphy/IMIFA

Infinite Mixtures of Infinite Factor Analysers

Language: R - Size: 21.1 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 6 - Forks: 1

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

Language: R - Size: 90.1 MB - Last synced at: about 7 hours ago - Pushed at: 10 months ago - Stars: 5 - Forks: 0

kieranrcampbell/mfa

Probabilistic inference of single-cell bifurcations

Language: R - Size: 77.1 KB - Last synced at: 17 days ago - Pushed at: about 3 years ago - Stars: 5 - Forks: 3

jamesuanhoro/minorbsem

An R package for Bayesian structural equation models that account for the influence of minor factors

Language: R - Size: 8.87 MB - Last synced at: 4 days ago - Pushed at: 4 months ago - Stars: 4 - Forks: 2

haziqj/INLAvaan

An R package for Bayesian structural equation modeling using INLA

Language: R - Size: 1.53 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 4 - Forks: 0

matteo-serafino/dimensionality-reduction-package

Python package for plug and play dimensionality reduction techniques and data visualization in 2D or 3D.

Language: Python - Size: 36.1 KB - Last synced at: 28 days ago - Pushed at: 7 months ago - Stars: 4 - Forks: 0

copenhaver/factoranalysis

Alternating minimization approach to factor analysis

Language: R - Size: 19.5 KB - Last synced at: 5 months ago - Pushed at: about 8 years ago - Stars: 4 - Forks: 2

jhorzek/mxsem

A lavaan-like syntax for structural equation models with OpenMx

Language: R - Size: 1.79 MB - Last synced at: 21 days ago - Pushed at: 5 months ago - Stars: 3 - Forks: 0

Alex-Markham/medil

mirror of the MeDIL Python package for causal modeling

Language: Python - Size: 39.1 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 3 - Forks: 0

AlexiaNomena/Correspondence_Analysis_User_Friendly

Correspondence Analysis with python

Language: Python - Size: 1.25 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 0

haoruilee/statistics-graphs

常用统计学图表绘制

Language: Jupyter Notebook - Size: 7.95 MB - Last synced at: 4 days ago - Pushed at: about 3 years ago - Stars: 3 - Forks: 0

egeminiani/penfa

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

Language: R - Size: 3.68 MB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 3 - Forks: 1

manuhuth/hidiTS

We conduct simulation studies on dynamic factor analysis using maximum-likelihood and principal-component estimators.

Language: R - Size: 53.6 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 3 - Forks: 1

ankitbit/Multivariate_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"

Language: HTML - Size: 5.37 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 3

yashajoshi/Cryptocurrency-Trading-Data-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.

Language: Jupyter Notebook - Size: 23.4 MB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 3 - Forks: 0

Garvit244/Factor-Analysis

Principle Component Analysis (PCA) with varimax rotation.

Language: Python - Size: 1.1 MB - Last synced at: over 1 year ago - Pushed at: almost 7 years ago - Stars: 3 - Forks: 0

quantmeth/Rnest

Rnest : An R package for the Next Eigenvalue Sufficiency Tests (NEST)

Language: R - Size: 462 KB - Last synced at: about 5 hours ago - Pushed at: about 6 hours ago - Stars: 2 - Forks: 0

wnarifin/wnarifin.github.io

wnarifin.github.io hosts my lectures, files and R codes.

Language: HTML - Size: 60.5 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 2 - Forks: 5

jpritikin/pcFactorStan

Stan Models for the Paired Comparison Factor Model

Language: R - Size: 243 KB - Last synced at: 13 days ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 1

benediktfesl/MFA_cplx

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

Language: Python - Size: 18.6 KB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

ForwardMoth/makrostat 📦

Introduction in Machine Learning

Language: Jupyter Notebook - Size: 4.16 MB - Last synced at: about 1 year ago - Pushed at: about 2 years ago - Stars: 2 - Forks: 0

SahilK-027/Factor-Analysis-Mini-Project

Mini project on Dimensionality Reduction

Language: Jupyter Notebook - Size: 132 KB - Last synced at: 2 months ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

ThomasJNicoletti/Driver

Driver Analysis with Factors and Forests: An Automated Data Science Tool using Python

Language: Python - Size: 55.7 KB - Last synced at: almost 2 years ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 0

sandipanpaul21/Dimensionality-Reduction-in-Python

Dimensionality Reduction technique in machine learning both theory and code in Python. Includes topics from PCA, LDA, Kernel PCA, Factor Analysis and t-SNE algorithm

Language: Jupyter Notebook - Size: 14.6 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 1

covuworie/nobel-physics-prizes

Predicting Nobel Physics Prize winners. Final project for Harvard CS109a 2017 edition https://github.com/covuworie/a-2017.

Language: HTML - Size: 118 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0

vincentpun123/Melbourne-Housing-Market-Segmentation-Analysis

Melbourne housing segmentation analysis to evaluate market trends and assess property values

Size: 2.53 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 2 - Forks: 0

Teebusch/mifa

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

Language: R - Size: 3.01 MB - Last synced at: about 1 month ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 0

Austin-Routt/YADDAT

YADDAT: Yet Another D&D Alignment Test

Language: JavaScript - Size: 961 KB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 0

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,

Language: Jupyter Notebook - Size: 11.7 KB - Last synced at: about 1 month ago - Pushed at: almost 5 years ago - Stars: 2 - Forks: 0

atyams/FIFA2019_Analysis_from_coach_and_management

Performed Principal Component Analysis, Cluster models and Exploratory Factor Analysis on FIFA dataset to identify the clusters among players, latent variables of management, and coach perspective on this Multivariate DataSet.

Language: R - Size: 63.5 MB - Last synced at: over 1 year ago - Pushed at: almost 6 years ago - Stars: 2 - Forks: 0

jmsallan/quantitative

Some code for the Quantitative Research Methods course

Language: HTML - Size: 5.05 MB - Last synced at: about 2 years ago - Pushed at: almost 7 years ago - Stars: 2 - Forks: 0

aomdahl/gleanr_workflow

Sparse factorization framework to integrate GWAS studies and identify shared latent genetic components

Language: R - Size: 54.7 MB - Last synced at: 23 days ago - Pushed at: 23 days ago - Stars: 1 - Forks: 0

julianschroeter/PyNovellaHistory

Modules with classes and functions for Computational literary text analysis, particularly a novella history

Language: Python - Size: 907 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

Dylan-Stewart/Heart-Disease-Project

My final project for data mining

Language: R - Size: 27.3 KB - Last synced at: 25 days ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

BNTechie/Data-preprocessing

Creating empty dataframe, data normalization, Dimensionality reduction, Outlier detection, Overfitting of model and its solution, Remove column with zero values, Replace NA with zeros.

Language: Jupyter Notebook - Size: 3.69 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

Diego-HernSua/Unsupervised_StatisticalLearning

This project is based on selecting one open data set (about FIFA23 player's stats) where we are going to clean, visualize and finally apply different unsupervised learning tools in order to process and understand in a deep way the data contained in the data set.

Language: RMarkdown - Size: 4.59 MB - Last synced at: about 1 month ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0