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dlnm: Distributed Lag Non-Linear Models

Collection of functions for distributed lag linear and non-linear models.

Version: 2.4.7
Depends: R (≥ 3.2)
Imports: stats, graphics, grDevices, utils, splines, nlme, mgcv, tsModel
Suggests: survival, lme4, gee, geepack, mixmeta
Published: 2021-10-07
DOI: 10.32614/CRAN.package.dlnm
Author: Antonio Gasparrini [aut, cre], Ben Armstrong [aut], Fabian Scheipl [ctb]
Maintainer: Antonio Gasparrini <antonio.gasparrini at lshtm.ac.uk>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/gasparrini/dlnm, http://www.ag-myresearch.com/package-dlnm
NeedsCompilation: no
Citation: dlnm citation info
Materials: README NEWS
In views: TimeSeries
CRAN checks: dlnm results

Documentation:

Reference manual: dlnm.pdf
Vignettes: Extension of the dlnm package
Distributed lag linear and non-linear models: the R the package dlnm
Penalized distributed lag linear and non-linear models
Distributed lag linear and non-linear models for time series data

Downloads:

Package source: dlnm_2.4.7.tar.gz
Windows binaries: r-devel: dlnm_2.4.7.zip, r-release: dlnm_2.4.7.zip, r-oldrel: dlnm_2.4.7.zip
macOS binaries: r-release (arm64): dlnm_2.4.7.tgz, r-oldrel (arm64): dlnm_2.4.7.tgz, r-release (x86_64): dlnm_2.4.7.tgz, r-oldrel (x86_64): dlnm_2.4.7.tgz
Old sources: dlnm archive

Reverse dependencies:

Reverse depends: FluMoDL
Reverse imports: attrib, collin, dlim, incidental
Reverse suggests: eesim, mixmeta, mvmeta, season

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.