Alternating minimization approach to factor analysis
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Updated
Apr 12, 2017 - R
Alternating minimization approach to factor analysis
Gamma Lasso Sparse Normal and Logistic Factor Analysis
indexDilemma() function co-authored and Included in CRAN
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.
Descriptive probabilistic marker gene approach to single-cell pseudotime inference
Inference for Gaussian copula factor models and its application to causal discovery.
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 **Superseded by the models-by-example repo**.
An R package providing multiple Imputation of covariance matrices in order to perform factor analysis.
Factor analytics techniques employed in R, including EFA and CFA, to analyze Martin & Doris's (2003) research on the development of a psychometric instrument measuring individual styles of humor.
We conduct simulation studies on dynamic factor analysis using maximum-likelihood and principal-component estimators.
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)
Market Mix Modelling for an eCommerce firm to estimate the impact of various marketing levers on sales
Psychometric techniques, including functions to analyze dichotomous variables, and applied examples of factor analysis and discriminant analysis. Produced within the classes "Principles and Methods of Measurement" and "Public Opinion", both taught at the University of Chicago in the Spring of 2021.
EM algorithm for improving factors found with principle component method
Simple-Supervised Factor Analysis
Statistical properties of entromin as an orthogonal rotation criterion
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