The package dlnm
contains functions to specify and
interpret distributed lag linear (DLMs) and non-linear (DLNMs) models.
The DLM/DLNM methodology is illustrated in detail in a series of
articles referenced at the end of this document.
dlnm
packageThe package dlnm
is available on the Comprehensive R
Archive Network (CRAN), with info at the related web page
(https://cran.r-project.org/package=dlnm). A development website is
available on GitHub (https://github.com/gasparrini/dlnm).
For a short summary of the functionalities of this package, refer to the main help page by typing:
help(dlnm)
in R after installation (see below). For a more comprehensive overview, refer to the main vignette of the package that can be opened with:
vignette("dlnmOverview")
The last version officially released on CRAN can be installed directly within R by typing:
install.packages("dlnm")
Several peer-reviewed articles and documents provide R code
illustrating methodological developments of dlnm
or
replicating substantive results using this package. An updated version
of the code can be found at the GitHub (httpsgithub.com/gasparrini) or
personal web page (http://www.ag-myresearch.com) of the package
maintainer.
Gasparrini A. Distributed lag linear and non-linear models in R: the package dlnm. Journal of Statistical Software. 2011; 43(8):1-20. [freely available here]
Gasparrini A, Scheipl F, Armstrong B, Kenward MG. A penalized framework for distributed lag non-linear models. Biometrics. 2017;73(3):938-948. [freely available here]://
Gasparrini A. Modelling lagged associations in environmental time series data: a simulation study. Epidemiology. 2016; 27(6):835-842. [freely available here]
Gasparrini A. Modeling exposure-lag-response associations with distributed lag non-linear models. Statistics in Medicine. 2014; 33(5):881-899. [freely available here].
Gasparrini A., Armstrong, B.,Kenward M. G. Distributed lag non-linear models. Statistics in Medicine. 2010; 29(21):2224-2234. [freely available here].
Gasparrini A., Armstrong, B., Kenward M. G. Reducing and meta-analyzing estimates from distributed lag non-linear models. BMC Medical Research Methodology. 2013; 13(1):1. [freely available here].
Armstrong, B. Models for the relationship between ambient temperature and daily mortality. Epidemiology. 2006, 17(6):624-31. [available here].