Package: attrib 2021.1.2

attrib: Attributable Burden of Disease

Provides functions for estimating the attributable burden of disease due to risk factors. The posterior simulation is performed using arm::sim as described in Gelman, Hill (2012) <doi:10.1017/CBO9780511790942> and the attributable burden method is based on Nielsen, Krause, Molbak <doi:10.1111/irv.12564>.

Authors:Richard Aubrey White [aut, cre], Aurora Hofman [aut], Folkehelseinstituttet [cph]

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attrib/json (API)
NEWS

# Install 'attrib' in R:
install.packages('attrib', repos = c('https://raubreywhite.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.70 score 4 scripts 799 downloads 3 exports 53 dependencies

Last updated 4 years agofrom:c9be5eadfb. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 13 2024
R-4.5-winNOTENov 13 2024
R-4.5-linuxNOTENov 13 2024
R-4.4-winNOTENov 13 2024
R-4.4-macNOTENov 13 2024
R-4.3-winNOTENov 13 2024
R-4.3-macNOTENov 13 2024

Exports:est_attribfit_attribsim

Dependencies:abindarmbootclicodacolorspacecpp11crayondata.tabledlnmfansifarvergenericsggplot2gluegtablehmsisobandlabelinglatticelifecyclelme4lubridatemagrittrMASSMatrixmgcvminqamixmetamunsellmvmetanlmenloptrpbspillarpkgconfigprettyunitsprogressR6RColorBrewerRcppRcppEigenrlangscalesstringistringrtibbletimechangetsModelutf8vctrsviridisLitewithr

Introduction to attrib

Aurora Hofman

Rendered fromintro.Rmdusingknitr::rmarkdownon Nov 13 2024.

Last update: 2021-03-30
Started: 2021-03-30