ecpc: an R-package for generic co-data models for high-dimensional prediction

ecpc: an R-package for generic co-data models for high-dimensional prediction

Abstract Background High-dimensional prediction considers data with more variables than samples. Generic research goals are to find the best predictor or to select variables. Results may be improved by exploiting prior information in the form of co-data, providing complementary data not on the sampl...

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Bibliographic Details
Main Authors: Mirrelijn M. van Nee, Lodewyk F. A. Wessels, Mark A. van de Wiel
Format: Article
Language:English
Published: BMC 2023-04-01
Series:BMC Bioinformatics
Subjects:
High-dimensional data
Penalised generalised linear models
Empirical Bayes
Prior information
R
Online Access:https://doi.org/10.1186/s12859-023-05289-x

Internet

https://doi.org/10.1186/s12859-023-05289-x

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