Calculate sketches of a data set reducing the number of observations using random projections. These can be used for Bayesian or frequentist linear regression on large data sets as described in Geppert et. al (2017) <doi:10.1007/s11222-015-9608-z>.
Version: | 1.1-5 |
Imports: | utils |
Published: | 2019-08-06 |
Author: | Leo N. Geppert [aut, cre, cph], Katja Ickstadt [aut], Alexander Munteanu [aut], Jens Quedenfeld [aut, cph], Ludger Sandig [aut, cph], Christian Sohler [aut] |
Maintainer: | Leo N. Geppert <geppert at statistik.uni-dortmund.de> |
License: | GPL (≥ 3) |
NeedsCompilation: | yes |
CRAN checks: | RaProR results |
Reference manual: | RaProR.pdf |
Package source: | RaProR_1.1-5.tar.gz |
Windows binaries: | r-devel: RaProR_1.1-5.zip, r-release: RaProR_1.1-5.zip, r-oldrel: RaProR_1.1-5.zip |
macOS binaries: | r-release: RaProR_1.1-5.tgz, r-oldrel: RaProR_1.1-5.tgz |
Old sources: | RaProR archive |
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