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prevR: Estimating Regional Trends of a Prevalence from a DHS and Similar Surveys

Spatial estimation of a prevalence surface or a relative risks surface, using data from a Demographic and Health Survey (DHS) or an analog survey, see Larmarange et al. (2011) <doi:10.4000/cybergeo.24606>.

Version: 5.0.0
Depends: R (≥ 3.5.0)
Imports: directlabels, ggplot2, gstat, KernSmooth, fields, foreign, methods, sf, stars
Suggests: grDevices, knitr, rmarkdown, spelling, terra
Published: 2023-05-15
DOI: 10.32614/CRAN.package.prevR
Author: Joseph Larmarange ORCID iD [aut, cre]
Maintainer: Joseph Larmarange <joseph.larmarange at ird.fr>
BugReports: https://github.com/larmarange/prevR/issues
License: CeCILL version 2 | CECILL-2.1 [expanded from: CeCILL]
URL: https://github.com/larmarange/prevR/
NeedsCompilation: no
Language: en-US
Citation: prevR citation info
Materials: NEWS
In views: OfficialStatistics
CRAN checks: prevR results

Documentation:

Reference manual: prevR.pdf
Vignettes: Introduction to prevR

Downloads:

Package source: prevR_5.0.0.tar.gz
Windows binaries: r-devel: prevR_5.0.0.zip, r-release: prevR_5.0.0.zip, r-oldrel: prevR_5.0.0.zip
macOS binaries: r-release (arm64): prevR_5.0.0.tgz, r-oldrel (arm64): prevR_5.0.0.tgz, r-release (x86_64): prevR_5.0.0.tgz, r-oldrel (x86_64): prevR_5.0.0.tgz
Old sources: prevR archive

Reverse dependencies:

Reverse suggests: recurse

Linking:

Please use the canonical form https://CRAN.R-project.org/package=prevR to link to this page.

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.