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

# Estimating Regional Trends of a Prevalence from a DHS and Similar Surveys

## Documentation for package ‘prevR’ version 5.0.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Code demos. Use demo() to run them.
- Package NEWS

## Help Pages

prevR-package | Estimating regional trends of a prevalence from a DHS.
as.data.frame | Convert an object of class prevR into a data.frame.
as.data.frame.prevR | Convert an object of class prevR into a data.frame.
as.prevR | Create an object of class prevR.
changeproj | Convert map projection of a object of class prevR.
changeproj-method | Convert map projection of a object of class prevR.
changeproj-methods | Convert map projection of a object of class prevR.
create.boundary | Provide national boundaries of a country.
direct.label_prevR | Direct label on a ggplot object
export | Export an object of class prevR.
export-method | Export an object of class prevR.
export-methods | Export an object of class prevR.
fdhs | Fictitious data generated by a DHS simulation.
fdhs.boundary | Fictitious data generated by a DHS simulation.
fdhs.clusters | Fictitious data generated by a DHS simulation.
idw | Spatial interpolation (kriging and inverse distance weighting) for objects of class prevR.
idw-method | Spatial interpolation (kriging and inverse distance weighting) for objects of class prevR.
idw-methods | Spatial interpolation (kriging and inverse distance weighting) for objects of class prevR.
import.dhs | Import DHS data.
is.prevR | Test if an object is of class prevR. This function test if the class of an object is prevR. It could be used to test the slot 'rings' or the slot 'boundary'.
kde | Kernel density estimation for prevR object.
kde-method | Kernel density estimation for prevR object.
kde-methods | Kernel density estimation for prevR object.
krige | Spatial interpolation (kriging and inverse distance weighting) for objects of class prevR.
krige-method | Spatial interpolation (kriging and inverse distance weighting) for objects of class prevR.
krige-methods | Spatial interpolation (kriging and inverse distance weighting) for objects of class prevR.
make.grid.prevR | Create a spatial grid from an object of class prevR.
Noptim | Suggested optimal value for N
plot | Plot object of class prevR.
plot-method | Plot object of class prevR.
plot-methods | Plot object of class prevR.
prevR-class | Objects of class prevR.
prevR.colors | Continuous color palettes.
prevR.colors.blue | Continuous color palettes.
prevR.colors.blue.inverse | Continuous color palettes.
prevR.colors.gray | Continuous color palettes.
prevR.colors.gray.inverse | Continuous color palettes.
prevR.colors.green | Continuous color palettes.
prevR.colors.green.inverse | Continuous color palettes.
prevR.colors.qgis.pal | Continuous color palettes.
prevR.colors.red | Continuous color palettes.
prevR.colors.red.inverse | Continuous color palettes.
prevR.demo.pal | Continuous color palettes.
prevRsummary | Detailed summary of the variables of a prevR object
print | Summary of a prevR object.
print-method | Summary of a prevR object.
print-methods | Summary of a prevR object.
quick.prevR | Quick prevR analysis and plot
rings | Calculation of rings of equal number of observation and/or equal radius.
rings-method | Calculation of rings of equal number of observation and/or equal radius.
rings-methods | Calculation of rings of equal number of observation and/or equal radius.
show | Summary of a prevR object.
show-method | Summary of a prevR object.
show-methods | Summary of a prevR object.
st_filter_prevR | Spatial filter
summary | Detailed summary of the variables of a prevR object
summary-method | Detailed summary of the variables of a prevR object
summary-methods | Detailed summary of the variables of a prevR object
theme_prevR | prevR themes for ggplot2
theme_prevR_light | prevR themes for ggplot2
TMWorldBorders | Dataset "TM World Borders Dataset 0.3".
update_prevR | Update a prevR object
xyz2dataframe | Convert a surface in xyz to a data frame.