Author: Moritz Mercker; Uwe Betzin; Dennis Wilken
Title: What influences COVID-19 infection rates: A statistical approach to identify promising factors applied to infection data from Germany Document date: 2020_4_17
ID: 09nvausz_23
Snippet: For all statistical analyses we used the open source software R [12] . In particular, for GAMM regression analyses we used the functions gam() and gamm() from the R-package mgcv [18] . For LASSO analyses we used the function glmnet() from the R-package glmnet [5] , and for all visualizstions we used the R-package ggplot2 [17] ......
Document: For all statistical analyses we used the open source software R [12] . In particular, for GAMM regression analyses we used the functions gam() and gamm() from the R-package mgcv [18] . For LASSO analyses we used the function glmnet() from the R-package glmnet [5] , and for all visualizstions we used the R-package ggplot2 [17] .
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