Distributed Lag Linear and Non-Linear Models in R: The Package dlnm.


Gasparrini, A; (2011) Distributed Lag Linear and Non-Linear Models in R: The Package dlnm. J Stat Softw, 43 (8). pp. 1-20. ISSN 1548-7660

[img]
Preview
Text - Published Version
License:

Download (535kB) | Preview

Abstract

: Distributed lag non-linear models (DLNMs) represent a modeling framework to flexibly describe associations showing potentially non-linear and delayed effects in time series data. This methodology rests on the definition of a crossbasis, a bi-dimensional functional space expressed by the combination of two sets of basis functions, which specify the relationships in the dimensions of predictor and lags, respectively. This framework is implemented in the R package dlnm, which provides functions to perform the broad range of models within the DLNM family and then to help interpret the results, with an emphasis on graphical representation. This paper offers an overview of the capabilities of the package, describing the conceptual and practical steps to specify and interpret DLNMs with an example of application to real data.<br/>

Item Type: Article
Faculty and Department: Faculty of Public Health and Policy > Dept of Social and Environmental Health Research
Research Centre: Centre for Statistical Methodology
PubMed ID: 22003319
URI: http://researchonline.lshtm.ac.uk/id/eprint/2338138

Statistics


Download activity - last 12 months
Downloads since deposit
6Downloads
271Hits
Accesses by country - last 12 months
Accesses by referrer - last 12 months
Additional statistics for this record are available via IRStats2

Actions (login required)

Edit Item Edit Item