[]Article 6] ordPens; An R package for Selection, Smoothing and Principal Components Analysis for Ordinal Variables

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Veröffentlicht in:	Hoshiyar, Aisouda Statistical learning with discrete data: principal component analysis, time series and regression
1. Verfasser:	Hoshiyar, Aisouda (VerfasserIn)
Format:	UnknownFormat
Sprache:	eng
Veröffentlicht:	2023
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Titel	Jahr	Verfasser
[Article 3] Regularization and Model Selection for Item-on-Items Regression with Applications to Food Products' Survey Data	2023	Hoshiyar, Aisouda
[]Article 1] Penalized Non-Linear Principal Components Analysis for Ordinal Variables with an Application to International Classification of Functioning Core Sets	2023	Hoshiyar, Aisouda
[]Article 2] Analyzing Likert-type data using penalized non-linear principal components analysis	2023	Hoshiyar, Aisouda
[]Article 4] Fusion, Smoothing and Model Selection for Item-on-Item Regession	2023	Hoshiyar, Aisouda
[]Article 6] ordPens; An R package for Selection, Smoothing and Principal Components Analysis for Ordinal Variables	2023	Hoshiyar, Aisouda
[Article 7] Softplus INGARCH Models	2023	Weiß, Christian H.
[]Article 5] Regularization and Model Selection for Item-on-Item Regression	2023	Hoshiyar, Aisouda
[Aricle 8] Challening the commonly used log-link in statistical models for count data with an application to infectious disease data	2023	Hoshiyar, Aisouda