Maximum likelihood estimation in respondent driven samples.

Functions to simplify the creation of choropleths (thematic
maps) in R.
choroplethr simplifies the creation of choropleths in R. A
choropleth is a thematic map where geographic regions such as states are
colored according to some metric, such as which political party the state
voted for. choroplethr supports three levels of geographic resolution and
two types of scales. Common problems such as matching county data with map
data, choosing and labeling discrete scales and creating a clean background
are handled automatically. choroplethr provides native support for viewing
data from the US Census's American Community Survey (ACS).

ggplot2, scales, plyr, Hmisc, grid, acs, stringr

Ari Lamstein <arilamstein@gmail.com>[cre, aut],
Brian P Johnson <brian@pjohnson.info> [ctb, frontend animation code]

choroplethr simplifies the creation of choropleths in R. A
choropleth is a thematic map where geographic regions such as states are
colored according to some metric, such as which political party the state
voted for. choroplethr supports four levels of geographic resolution and
two types of scales. Common problems such as matching county data with map
data, choosing and labeling discrete scales and creating a clean background
are handled automatically. choroplethr provides native support for viewing
data from the US Census's American Community Survey (ACS).

Simplify the creation of choropleth maps in R.
choroplethr simplifies the creation of choropleth maps in R.
Choropleths are thematic maps where geographic regions, such as states, are
colored according to some metric, such as the number of people who live in
that state.  choroplethr simplifies this process by 1. Providing ready-made
functions for creating choropleths using four different maps. 2. Providing
API connections to interesting data sources for making choropleths. 3.
Providing a framework for creating choropleths from arbitrary shapefiles.
Please see the vignettes for more details.
scales, Hmisc, stringr, ggplot2, dplyr, R6, acs, WDI
'choropleth.R' 'choroplethr.R' 'choroplethr_acs.R'
'choroplethr_animate.R' 'choroplethr_wdi.R' 'country.R'
'country_data.R' 'usa.R' 'county.R' 'county_data.R' 'state.R'
'state_data.R' 'zip.R' 'zip_data.R'