This package is considered a duplicate. The official version of this package is found at:https://jamgreen.r-universe.dev/lehdr

Package: lehdr 1.1.4

Jamaal Green

lehdr: Grab Longitudinal Employer-Household Dynamics (LEHD) Flat Files

Designed to query Longitudinal Employer-Household Dynamics (LEHD) workplace/residential association and origin-destination flat files and optionally aggregate Census block-level data to block group, tract, county, or state. Data comes from the LODES FTP server <https://lehd.ces.census.gov/data/lodes/LODES8/>.

Authors:Jamaal Green [cre, aut], Liming Wang [aut], Dillon Mahmoudi [aut], Matthew Rogers [ctb], Kyle Walker [ctb], Eli Pousson [ctb]

lehdr_1.1.4.tar.gz
lehdr_1.1.4.zip(r-4.7)lehdr_1.1.4.zip(r-4.6)lehdr_1.1.4.zip(r-4.5)
lehdr_1.1.4.tgz(r-4.6-any)lehdr_1.1.4.tgz(r-4.5-any)
lehdr_1.1.4.tar.gz(r-4.7-any)lehdr_1.1.4.tar.gz(r-4.6-any)
lehdr_1.1.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
lehdr/json (API)

# Install 'lehdr' in R:

install.packages('lehdr', repos = c('https://ar-puuk.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/jamgreen/lehdr/issues

On CRAN:

7.36 score 67 stars 136 scripts 350 downloads 2 exports 34 dependencies

Last updated from:0d29106406. Checks:9 OK. Indexed: no.

Target	Result	Time
linux-devel-x86_64	OK	264
source / vignettes	OK	267
linux-release-x86_64	OK	268
macos-release-arm64	OK	213
macos-oldrel-arm64	OK	236
windows-devel	OK	234
windows-release	OK	209
windows-oldrel	OK	189
wasm-release	OK	151

Exports:grab_crosswalk grab_lodes

Dependencies:askpass bit bit64 cli clipr cpp11 crayon curl dplyr generics glue hms httr2 lifecycle magrittr openssl pillar pkgconfig prettyunits progress R6 rappdirs readr rlang stringi stringr sys tibble tidyselect tzdb utf8 vctrs vroom withr

Getting Started with lehdr

Rendered fromgetting_started.Rmdusingknitr::rmarkdown

Last update: 2025-05-21
Started: 2018-06-19

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Download and load LODES geographic crosswalk into a data frame (tibble)	grab_crosswalk
Download and load LODES data into a data frame (tibble)	grab_lodes