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The betaboost package—a software tool for modelling bounded outcome variables in potentially high-dimensional epidemiological data
International Journal of Epidemiology ( IF 6.4 ) Pub Date : 2018-06-13 , DOI: 10.1093/ije/dyy093 Andreas Mayr 1 , Leonie Weinhold 1 , Benjamin Hofner 2 , Stephanie Titze 3 , Olaf Gefeller 4 , Matthias Schmid 1
International Journal of Epidemiology ( IF 6.4 ) Pub Date : 2018-06-13 , DOI: 10.1093/ije/dyy093 Andreas Mayr 1 , Leonie Weinhold 1 , Benjamin Hofner 2 , Stephanie Titze 3 , Olaf Gefeller 4 , Matthias Schmid 1
Affiliation
To provide an integrated software environment for model fitting and variable selection in regression models with a bounded outcome variable.
中文翻译:
该betaboost用于潜在高维流行病学数据建模界结局变量包的软件工具
提供一个集成的软件环境,用于在具有有限结果变量的回归模型中进行模型拟合和变量选择。
更新日期:2018-06-13
中文翻译:
该betaboost用于潜在高维流行病学数据建模界结局变量包的软件工具
提供一个集成的软件环境,用于在具有有限结果变量的回归模型中进行模型拟合和变量选择。