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Projects in Awesome Lists tagged with cfa

A curated list of projects in awesome lists tagged with cfa .

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/civictechdc/codefordc.github.com

[DEPRECATED] The old Code for DC website

brigade cfa code-for-dc deprecated washington-dc

Last synced: 17 Dec 2025

https://github.com/cedadev/cfapyx

Xarray CFA Engine module for accessing CFA-netCDF files with Xarray

cfa dask kerchunk netcdf4 python xarray

Last synced: 22 Apr 2025

https://github.com/ggcr/demosaicing

Going from a CFA RAW format image to a full-color RGB image through the process of applying the Bayer filter and Demosaicing by interpolating the missing parts of the channels with different algorithms, in the frequency and spatial domains.

bilinear-interpolation cfa demosaicing gradient-correction image-processing raw

Last synced: 11 Oct 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/aliciagilmatute/estudio-valores-perdidos

Este estudio investiga la efectividad de la imputación múltiple en el análisis factorial confirmatorio (AFC) con datos de liderazgo, donde se simularon valores perdidos (MCAR) en un 40% de la muestra.

afc cfa imputation-methods mcar mice-package missing-data missing-data-imputation missing-value-imputation multiple-imputation r rmarkdown rstats rstatses rstudio

Last synced: 02 Apr 2025

https://github.com/aliciagilmatute/Estudio-Valores-Perdidos

Este estudio investiga la efectividad de la imputación múltiple en el análisis factorial confirmatorio (AFC) con datos de liderazgo, donde se simularon valores perdidos (MCAR) en un 40% de la muestra.

afc cfa imputation-methods mcar mice-package missing-data missing-data-imputation missing-value-imputation multiple-imputation r rmarkdown rstats rstatses rstudio

Last synced: 20 Mar 2025