Description Usage Arguments Details Value Examples
race.pred
makes probabilistic estimates of individual-level race/ethnicity.
1 2 3 |
voters |
An object of class |
races |
A character vector specifying which racial groups to generate
predicted probabilities for. Can include any subset of the default vector,
which is |
name.clean |
A |
surname.only |
A |
census |
An optional character vector specifying what level of
geography to use to merge in U.S. Census 2010 data. Currently only
|
census.key |
A character object specifying user's Census API
key. Must be specified if |
demo |
An optional |
party |
An optional character object specifying party registration field. Party registration should be coded as 1 for Democrat, 2 for Republican, and 0 for Other. |
This function implements the Bayesian race prediction methods outlined in Imai and Khanna (2015). The function produces probabilistics estimates of individual-level race/ethnicity, based on surname, geolocation, and party.
Output will be an object of class data.frame
. It will
consist of the original user-input data with additional columns that
contain predicted probabilities for each race in races
.
1 2 3 4 5 6 7 8 | data(voters)
race.pred(voters = voters, races = c("asian"), surname.only = TRUE)
## Not run: race.pred(voters = voters, races = c("white", "black", "latino"),
census = "tract", census.key = "...", demo = TRUE)
## End(Not run)
## Not run: race.pred(voters = voters, races = c("white", "black", "latino", "asian", "other"),
census = "tract", census.key = "...", party = "PID")
## End(Not run)
|
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