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A flexible method for modeling cumulative effects of time-varying exposures, weighted according to their relative proximity in time, and represented by time-dependent covariates. The current implementation estimates the weight function in the Cox proportional hazards model. The function that assigns weights to doses taken in the past is estimated using cubic regression splines.
Version: | 1.0.3 |
Depends: | R (≥ 3.5.0) |
Imports: | plyr, survival, splines |
Suggests: | R.rsp |
Published: | 2024-02-15 |
DOI: | 10.32614/CRAN.package.WCE |
Author: | Marie-Pierre Sylvestre [aut, cre], Marie-Eve Beauchamp [ctb], Ryan Patrick Kyle [ctb], Michal Abrahamowicz [ctb] |
Maintainer: | Marie-Pierre Sylvestre <marie-pierre.sylvestre at umontreal.ca> |
License: | GPL-2 | GPL-3 |
NeedsCompilation: | no |
CRAN checks: | WCE results |
Reference manual: | WCE.pdf |
Package source: | WCE_1.0.3.tar.gz |
Windows binaries: | r-devel: WCE_1.0.3.zip, r-release: WCE_1.0.3.zip, r-oldrel: WCE_1.0.3.zip |
macOS binaries: | r-release (arm64): WCE_1.0.3.tgz, r-oldrel (arm64): WCE_1.0.3.tgz, r-release (x86_64): WCE_1.0.3.tgz, r-oldrel (x86_64): WCE_1.0.3.tgz |
Old sources: | WCE archive |
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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.
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