Package: sketching
Type: Package
Title: Sketching of Data via Random Subspace Embeddings
Version: 0.1.0
Authors@R: c(
    person("Sokbae", "Lee", email = "sl3841@columbia.edu", role = c("aut", "cre")),
    person("Serena", "Ng", email = "sn2294@columbia.edu ", role = "aut"))
Description: Construct sketches of data via random subspace embeddings. 
  For more details, see the following papers.
  Lee, S. and Ng, S. (2022). "Least Squares Estimation Using Sketched Data with Heteroskedastic Errors," <arXiv:2007.07781>, accepted for presentation at the Thirty-ninth International Conference on Machine Learning (ICML 2022).
  Lee, S. and Ng, S. (2020). "An Econometric Perspective on Algorithmic Subsampling," Annual Review of Economics, 12(1): 45–80.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.2
Imports: stats, MASS, Rcpp (>= 1.0.7), phangorn (>= 2.8.1)
LinkingTo: Rcpp
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), lmtest (>= 0.9), ivreg
        (>= 0.6), sandwich (>= 3.0)
VignetteBuilder: knitr
Depends: R (>= 4.1.0)
URL: https://github.com/sokbae/sketching/
BugReports: https://github.com/sokbae/sketching/issues
Config/testthat/edition: 3
NeedsCompilation: yes
Packaged: 2022-06-07 09:41:35 UTC; sokbaelee
Author: Sokbae Lee [aut, cre],
  Serena Ng [aut]
Maintainer: Sokbae Lee <sl3841@columbia.edu>
Repository: CRAN
Date/Publication: 2022-06-08 09:20:02 UTC
