Package: scR Title: Empirical Sample Complexity Bounds Version: 0.7.0 Authors@R: c( person("Perry", "Carter", email = "pjc504@nyu.edu", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-4684-6533")), person("Dahyun", "Choi", email = "dahyunc@princeton.edu", role = "aut", comment = c(ORCID = "0000-0002-2628-1467")) ) Description: Provides tools for estimating empirical sample complexity bounds for supervised learning tasks. The package supports simulation-based estimates of generalization curves, parametric extrapolation of empirical sample complexity bounds, theoretical bounds based on Vapnik-Chervonenkis dimension, and optional monotone Gaussian process extrapolation for users who install the external 'cmdstanr' workflow. For more details, see Carter and Choi (2024) . License: MIT + file LICENSE URL: https://github.com/pjesscarter/scR BugReports: https://github.com/pjesscarter/scR/issues Encoding: UTF-8 Depends: R (>= 4.1.0) Imports: dplyr, furrr, future, ggplot2, Matrix, minpack.lm, parallel, parallelly, pbapply, plotly, progressr, stats, tidyr Suggests: cmdstanr, posterior, rmarkdown, testthat (>= 3.0.0) Additional_repositories: https://stan-dev.r-universe.dev Roxygen: list(markdown = TRUE) RoxygenNote: 7.3.3 Config/testthat/edition: 3 Config/pak/sysreqs: cmake make libicu-dev libuv1-dev libssl-dev Repository: https://pjesscarter.r-universe.dev Date/Publication: 2026-06-23 08:09:01 UTC RemoteUrl: https://github.com/pjesscarter/scr RemoteRef: HEAD RemoteSha: 8fe5769fd130e7de2530c712a8a57240411cb384 NeedsCompilation: no Packaged: 2026-06-24 09:31:30 UTC; root Author: Perry Carter [aut, cre] (ORCID: ), Dahyun Choi [aut] (ORCID: ) Maintainer: Perry Carter