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prevR (version 2.8)

Estimating regional trends of a prevalence from a DHS

Description

This package performs spatial estimation of a prevalence surface or a relative risks surface, using data from a Demographic and Health Survey (DHS) or an analog survey.

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Version

Install

install.packages('prevR')

Monthly Downloads

303

Version

2.8

License

CeCILL

Maintainer

Joseph Larmarange

Last Published

August 20th, 2013

Functions in prevR (2.8)

summary,prevR-method

Detailed summary of the variables of a prevR object
changeproj,prevR-method

Convert map projection of a object of class prevR.
xyz2dataframe

Convert a surface in xyz to a data frame.
NA.outside.SpatialPolygons

Affect NA value to points located outside a polygon.
as.SpatialGrid,prevR-method

Create a spatial grid from an object of class prevR.
create.boundary

Provide national boundaries of a country.
as.prevR

Create an object of class prevR.
rings,prevR-method

Calculation of rings of equal number of observation and/or equal radius.
TMWorldBorders

Dataset "TM World Borders Dataset 0.3".
import.dhs

Import DHS data.
print,prevR-method

Summary of a prevR object.
plot,prevR-method

Plot object of class prevR.
point.in.SpatialPolygons

Test if a point falls within a given polygon.
kde,prevR-method

Kernel density estimation for prevR object.
prevR-class

Objects of class prevR.
as.data.frame.prevR

Convert an object of class prevR into a data.frame.
show,prevR-method

Summary of a prevR object.
prevR.colors

Continuous color palettes.
prevR-package

Estimating regional trends of a prevalence from a DHS.
krige,prevR-method

Spatial interpolation (kriging and inverse distance weighting) for objects of class prevR.
export,prevR-method

Export an object of class prevR.
is.prevR

Test if an object is of class prevR.