
taylor - Lyrics and Song Data for Taylor Swift's Discography
A comprehensive resource for data on Taylor Swift songs. Data is included for all officially released studio albums, extended plays (EPs), and individual singles are included. Data comes from 'Genius' (lyrics) and 'SoundStat' (song characteristics). Additional functions are included for easily creating data visualizations with color palettes inspired by Taylor Swift's album covers.
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color-palettesdatagenius-lyricsggplot2-themeslyricsspotifyspotify-apitaylor-swift
8.39 score 54 stars 153 scripts 702 downloads
measr - Bayesian Psychometric Measurement Using 'Stan'
Estimate diagnostic classification models (also called cognitive diagnostic models) with 'Stan'. Diagnostic classification models are confirmatory latent class models, as described by Rupp et al. (2010, ISBN: 978-1-60623-527-0). Automatically generate 'Stan' code for the general loglinear cognitive diagnostic diagnostic model proposed by Henson et al. (2009) <doi:10.1007/s11336-008-9089-5> and other subtypes that introduce additional model constraints. Using the generated 'Stan' code, estimate the model evaluate the model's performance using model fit indices, information criteria, and reliability metrics.
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bayesiancdmcmdstanrcognitive-diagnosiscognitive-diagnostic-modelsdcmdiagnostic-classification-modelspsychometricsrstanstancpp
7.52 score 13 stars 42 scripts 792 downloads
rdcmchecks - Common Argument Checks for 'r-dcm' Packages
Many packages in the 'r-dcm' family take similar arguments, which are checked for expected structures and values. Rather than duplicating code across several packages, commonly used check functions are included here. This package can then be imported to access the check functions in other packages.
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4.26 score 2 dependents 1 scripts 540 downloads
dcmdata - Data Sets for Diagnostic Classification Modeling
Access data sets for demonstrating or testing diagnostic classification models. Simulated data sets can be used to compare estimated model output to true data-generating values. Real data sets can be used to demonstrate real-world applications of diagnostic models.
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4.15 score 47 scripts 525 downloads


