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r-lib
httr:Tools for Working with URLs and HTTP
Useful tools for working with HTTP organised by HTTP verbs (GET(), POST(), etc). Configuration functions make it easy to control additional request components (authenticate(), add_headers() and so on).
Maintained by Hadley Wickham. Last updated 1 years ago.
989 stars 20.56 score 29k scripts 4.3k dependents
mhahsler
stream:Infrastructure for Data Stream Mining
A framework for data stream modeling and associated data mining tasks such as clustering and classification. The development of this package was supported in part by NSF IIS-0948893, NSF CMMI 1728612, and NIH R21HG005912. Hahsler et al (2017) <doi:10.18637/jss.v076.i14>.
Maintained by Michael Hahsler. Last updated 19 days ago.
data-stream-clusteringdatastreamstream-miningcpp
39 stars 10.05 score 132 scripts 3 dependents
kylebaron
mrgsim.parallel:Simulate with 'mrgsolve' in Parallel
Simulation from an 'mrgsolve' <https://cran.r-project.org/package=mrgsolve> model using a parallel backend. Input data sets are split (chunked) and simulated in parallel using mclapply() or future_lapply() <https://cran.r-project.org/package=future.apply>.
Maintained by Kyle Baron. Last updated 3 months ago.
5 stars 5.11 score 17 scripts