R code and data for: "A penalized framework for distributed lag non-linear models"
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Gasparrini, A, Scheipl, F, Armstrong, B and Kenward, M. 2017. R code and data for: "A penalized framework for distributed lag non-linear models". [Online]. Github. Available from: http://datacompass.lshtm.ac.uk/382/ https://github.com/gasparrini/2017_gasparrini_Biomet_Rcodedata
Description
R code reproducing the results published in an article on the extension of distributed lag linear and non-linear models (DLMs and DLNMs) thorugh generalized additive models via penalized splines. The methodology is implemented by embedding functions in the R packages dlnm and mgcv. The code reproduces two examples of application in time series and survival analysis, respectively, and the results of the simulation study.
| Published in a 3rd party system Date: | January 2017 | ||
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| Data Creators(s): | Gasparrini, A, Scheipl, F, Armstrong, B and Kenward, M | ||
| LSHTM Faculty/Department: | Faculty of Public Health and Policy > Dept of Social and Environmental Health Research | ||
| Participating Institutions: | London School of Hygiene & Tropical Medicine, London, United Kingdom, Ludwig Maximilians University, Munich, Germany | ||
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