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: 3.4.1
Depends: R (≥ 3.5.0)
Imports: sp, rgdal (≥ 0.7), ggplot2, directlabels, GenKern, fields, gstat, foreign, maptools, methods
Suggests: tcltk, geoR, knitr, rmarkdown
Published: 2020-08-28
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
Citation: prevR citation info
Materials: NEWS
In views: OfficialStatistics
CRAN checks: prevR results

Downloads:

Reference manual: prevR.pdf
Vignettes: Introduction to prevR
Package source: prevR_3.4.1.tar.gz
Windows binaries: r-devel: prevR_3.4.1.zip, r-release: prevR_3.4.1.zip, r-oldrel: prevR_3.4.1.zip
macOS binaries: r-release (arm64): prevR_3.4.1.tgz, r-release (x86_64): prevR_3.4.1.tgz, r-oldrel: prevR_3.4.1.tgz
Old sources: prevR archive

Reverse dependencies:

Reverse suggests: recurse

Linking:

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