Thebetaboostpackage—a software tool for modelling bounded outcome variables in potentially high-dimensional epidemiological data | Zendy

Andreas Mayr | Zendy; Leonie Weinhold | Zendy; Benjamin Hofner | Zendy; Stephanie Titze | Zendy; Olaf Gefeller | Zendy; Matthias Schmid | Zendy

Open Access

Thebetaboostpackage—a software tool for modelling bounded outcome variables in potentially high-dimensional epidemiological data

Author(s) -

Andreas Mayr,

Leonie Weinhold,

Benjamin Hofner,

Stephanie Titze,

Olaf Gefeller,

Matthias Schmid

Publication year - 2018

Publication title -

international journal of epidemiology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.406

H-Index - 208

eISSN - 1464-3685

pISSN - 0300-5771

DOI - 10.1093/ije/dyy093

Subject(s) - computer science , software , outcome (game theory) , variable (mathematics) , regression analysis , linear regression , statistical model , bounded function , feature selection , data mining , statistics , machine learning , mathematics , mathematical analysis , mathematical economics , programming language

To provide an integrated software environment for model fitting and variable selection in regression models with a bounded outcome variable.

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