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lobsteR: Access and Process 'LOBSTER' High-Frequency Data

Provides tools to authenticate with 'LOBSTER' (Limit Order Book System - The Efficient Reconstruction, <https://app.lobsterdata.com/>), request, download, and process high-frequency limit order book data. Streamlines the end-to-end workflow from data request to analysis-ready datasets. For advanced high-frequency econometric analysis, see the 'highfrequency' package.

Version: 1.0.0
Depends: R (≥ 4.2.0)
Imports: archive, assertthat, callr, dplyr, httr, lubridate, purrr, rvest, timeDate
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0), xml2
Published: 2026-03-03
DOI: 10.32614/CRAN.package.lobsteR (may not be active yet)
Author: Karol Kulma [aut], Stefan Voigt [aut, cre, cph]
Maintainer: Stefan Voigt <stefan.voigt at econ.ku.dk>
BugReports: https://github.com/voigtstefan/lobsteR/issues
License: MIT + file LICENSE
URL: https://github.com/voigtstefan/lobsteR, https://voigtstefan.github.io/lobsteR/
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: lobsteR results

Documentation:

Reference manual: lobsteR.html , lobsteR.pdf

Downloads:

Package source: lobsteR_1.0.0.tar.gz
Windows binaries: r-devel: not available, r-release: lobsteR_1.0.0.zip, r-oldrel: lobsteR_1.0.0.zip
macOS binaries: r-release (arm64): lobsteR_1.0.0.tgz, r-oldrel (arm64): lobsteR_1.0.0.tgz, r-release (x86_64): lobsteR_1.0.0.tgz, r-oldrel (x86_64): lobsteR_1.0.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=lobsteR to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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