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: 4.0.0
Depends: R (≥ 3.5.0)
Imports: sp, rgdal (≥ 0.7), ggplot2, directlabels, KernSmooth, fields, gstat, foreign, maptools, methods
Suggests: knitr, rmarkdown
Published: 2022-05-11
Author: Joseph Larmarange ORCID iD [aut, cre]
Maintainer: Joseph Larmarange <joseph.larmarange at ird.fr>
BugReports: https://github.com/larmarange/prevR/issues
License: 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_4.0.0.tar.gz
Windows binaries: r-devel: prevR_4.0.0.zip, r-release: prevR_4.0.0.zip, r-oldrel: prevR_4.0.0.zip
macOS binaries: r-release (arm64): prevR_4.0.0.tgz, r-oldrel (arm64): prevR_4.0.0.tgz, r-release (x86_64): prevR_4.0.0.tgz, r-oldrel (x86_64): prevR_4.0.0.tgz
Old sources: prevR archive

Reverse dependencies:

Reverse suggests: recurse

Linking:

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