American Community Survey 5-year estimates (ACS-5; 2010 onward). Using data
from the ACS-5 (2009 onward), the package can also (1) compute the spatial
<doi:10.1016/j.sste.2011.06.002>, (2) compute the spatial Educational Isolation
Index (EI) based on Bravo et al. (2021) <doi:10.3390/ijerph18179384>,
(3) compute the aspatial Index of Concentration at the Extremes (ICE) based on
Feldman et al. (2015) <doi:10.1136/jech-2015-205728> and Krieger et al.
(2016) <doi:10.2105/AJPH.2015.302955>, and (4) retrieve the aspatial Gini
Suggests: ggplot2, testthat, tigris, R.rsp, spelling, usethis

Title: Wicked-Fast Streaming 'JSON' ('ndjson') Reader
Author: Bob Rudis (@hrbrmstr), Niels Lohmann (C++ json parser),
Deepak Bandyopadhyay (C++ gzstream), Lutz Kettner (C++ gzstream)
Description: Streaming 'JSON' ('ndjson') has one 'JSON' record per-line and many modern
'ndjson' files contain large numbers of records. These constructs may not be
columnar in nature, but it's often useful to read in these files and "flatten"
the structure out to work in an R data.frame-like context. Functions are provided that
make it possible to read in plain 'ndjson' files or compressed ('gz') 'ndjson'
files and either validate the format of the records or create "flat" data.table
Imports: Rcpp, Rcpp11, data.table, dtplyr

Author: Bob Rudis (bob@rud.is), Niels Lohmann (C++ json parser),
Description: Streaming 'JSON' ('ndjson') has one 'JSON' record per-line and
many modern 'ndjson' files contain large numbers of records. These constructs
may not be columnar in nature, but it is often useful to read in these files
and "flatten" the structure out to enable working with the data in an R
'data.frame'-like context. Functions are provided that make it possible to read
in plain 'ndjson' files or compressed ('gz') 'ndjson' files and either validate
the format of the records or create "flat" 'data.table' structures from them.
Imports: Rcpp, data.table, dplyr, dtplyr

person("Niels", "Lohmann", role = "aut", comment = "C++ json parser"),
person("Deepak", "Bandyopadhyay", role = "aut", comment = "C++ gzstream"),
person("Lutz", "Kettner", role = "aut", comment = "C++ gzstream)")
Deepak Bandyopadhyay [aut] (C++ gzstream),