rstub r-universe repositoryhttps://rstub.r-universe.devPackage updated in rstubcranlike-server 0.17.28https://github.com/rstub.png?size=400rstub r-universe repositoryhttps://rstub.r-universe.devThu, 13 Jun 2024 08:57:42 GMT[rstub] tikzDevice 0.12.6ralf.stubner@gmail.com (Ralf Stubner)Provides a graphics output device for R that records plots
in a LaTeX-friendly format. The device transforms plotting
commands issued by R functions into LaTeX code blocks. When
included in a LaTeX document, these blocks are interpreted with
the help of 'TikZ'---a graphics package for TeX and friends
written by Till Tantau. Using the 'tikzDevice', the text of R
plots can contain LaTeX commands such as mathematical formula.
The device also allows arbitrary LaTeX code to be inserted into
the output stream.https://github.com/r-universe/rstub/actions/runs/9497339239Thu, 13 Jun 2024 08:57:42 GMTtikzDevice0.12.6successhttps://rstub.r-universe.devhttps://github.com/daqana/tikzDevicetikzDevice.RnwtikzDevice.pdfThe tikzDevice Package2013-11-01 03:57:402023-08-18 08:17:33[daqana] tikzDevice 0.12.6ralf.stubner@gmail.com (Ralf Stubner)Provides a graphics output device for R that records plots
in a LaTeX-friendly format. The device transforms plotting
commands issued by R functions into LaTeX code blocks. When
included in a LaTeX document, these blocks are interpreted with
the help of 'TikZ'---a graphics package for TeX and friends
written by Till Tantau. Using the 'tikzDevice', the text of R
plots can contain LaTeX commands such as mathematical formula.
The device also allows arbitrary LaTeX code to be inserted into
the output stream.https://github.com/r-universe/daqana/actions/runs/9497340518Thu, 13 Jun 2024 08:57:42 GMTtikzDevice0.12.6successhttps://daqana.r-universe.devhttps://github.com/daqana/tikzdevicetikzDevice.RnwtikzDevice.pdfThe tikzDevice Package2013-11-01 03:57:402023-08-18 08:17:33[rstub] dqrng 0.4.1ralf.stubner@gmail.com (Ralf Stubner)Several fast random number generators are provided as C++
header only libraries: The PCG family by O'Neill (2014
<https://www.cs.hmc.edu/tr/hmc-cs-2014-0905.pdf>) as well as
the Xoroshiro / Xoshiro family by Blackman and Vigna (2021
<doi:10.1145/3460772>). In addition fast functions for
generating random numbers according to a uniform, normal and
exponential distribution are included. The latter two use the
Ziggurat algorithm originally proposed by Marsaglia and Tsang
(2000, <doi:10.18637/jss.v005.i08>). The fast sampling methods
support unweighted sampling both with and without replacement.
These functions are exported to R and as a C++ interface and
are enabled for use with the default 64 bit generator from the
PCG family, Xoroshiro128+/++/** and Xoshiro256+/++/** as well
as the 64 bit version of the 20 rounds Threefry engine (Salmon
et al., 2011, <doi:10.1145/2063384.2063405>) as provided by the
package 'sitmo'.https://github.com/r-universe/rstub/actions/runs/9269396789Tue, 28 May 2024 09:46:50 GMTdqrng0.4.1successhttps://rstub.r-universe.devhttps://github.com/daqana/dqrngcpp-api.Rmdcpp-api.htmlC++ API2019-04-22 11:25:082024-05-12 20:10:26dqrng.Rmddqrng.htmlFast Pseudo Random Number Generators for R2018-04-19 20:06:372024-04-21 11:19:55sample.Rmdsample.htmlFast sampling methods2023-07-30 16:36:152023-08-30 16:28:31parallel.Rmdparallel.htmlParallel RNG usage2018-06-08 17:08:422024-05-12 19:21:02[daqana] dqrng 0.4.1ralf.stubner@gmail.com (Ralf Stubner)Several fast random number generators are provided as C++
header only libraries: The PCG family by O'Neill (2014
<https://www.cs.hmc.edu/tr/hmc-cs-2014-0905.pdf>) as well as
the Xoroshiro / Xoshiro family by Blackman and Vigna (2021
<doi:10.1145/3460772>). In addition fast functions for
generating random numbers according to a uniform, normal and
exponential distribution are included. The latter two use the
Ziggurat algorithm originally proposed by Marsaglia and Tsang
(2000, <doi:10.18637/jss.v005.i08>). The fast sampling methods
support unweighted sampling both with and without replacement.
These functions are exported to R and as a C++ interface and
are enabled for use with the default 64 bit generator from the
PCG family, Xoroshiro128+/++/** and Xoshiro256+/++/** as well
as the 64 bit version of the 20 rounds Threefry engine (Salmon
et al., 2011, <doi:10.1145/2063384.2063405>) as provided by the
package 'sitmo'.https://github.com/r-universe/daqana/actions/runs/9269397873Tue, 28 May 2024 09:46:50 GMTdqrng0.4.1successhttps://daqana.r-universe.devhttps://github.com/daqana/dqrngcpp-api.Rmdcpp-api.htmlC++ API2019-04-22 11:25:082024-05-12 20:10:26dqrng.Rmddqrng.htmlFast Pseudo Random Number Generators for R2018-04-19 20:06:372024-04-21 11:19:55sample.Rmdsample.htmlFast sampling methods2023-07-30 16:36:152023-08-30 16:28:31parallel.Rmdparallel.htmlParallel RNG usage2018-06-08 17:08:422024-05-12 19:21:02[rstub] swephR 0.3.1.1ralf.stubner@gmail.com (Ralf Stubner)The Swiss Ephemeris (version 2.10.03) is a high precision
ephemeris based upon the DE431 ephemerides from NASA's JPL. It
covers the time range 13201 BCE to 17191 CE. This package uses
the semi-analytic theory by Steve Moshier. For faster and more
accurate calculations, the compressed Swiss Ephemeris data is
available in the 'swephRdata' package. To access this data
package, run 'install.packages("swephRdata", repos =
"https://rstub.r-universe.dev", type = "source")'. The size of
the 'swephRdata' package is approximately 115 MB. The user can
also use the original JPL DE431 data.https://github.com/r-universe/rstub/actions/runs/9442069529Wed, 04 Oct 2023 20:00:20 GMTswephR0.3.1.1successhttps://rstub.r-universe.devhttps://github.com/rstub/swephRswephR.RmdswephR.htmlswephR2018-12-20 18:52:142019-08-27 17:08:23FAILURE: [rstub] RcppArrayFire 0.1.0ralf.stubner@gmail.com (Ralf Stubner)https://github.com/r-universe/rstub/actions/runs/9090073632Sat, 10 Dec 2022 16:18:14 GMTRcppArrayFire0.1.0https://github.com/daqana/rcpparrayfire[rstub] swephRdata 0.0.1ralf.stubner@gmail.com (Ralf Stubner)Data files to provide the full Swiss Ephemeris for usage
with the 'swephR' package.https://github.com/r-universe/rstub/actions/runs/9159216661Fri, 16 Nov 2018 22:29:30 GMTswephRdata0.0.1successhttps://rstub.r-universe.devhttps://github.com/rstub/swephRdata