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 [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

Documentation:

Reference manual:	prevR.pdf
Vignettes:	Introduction to prevR

Downloads:

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-oldrel (arm64): prevR_3.4.1.tgz, r-release (x86_64): prevR_3.4.1.tgz, r-oldrel (x86_64): prevR_3.4.1.tgz
Old sources:	prevR archive

Reverse dependencies:

Reverse suggests:

recurse

Linking:

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