package

swephR v0.3.0

This afternoon swephR version 0.3.0 made it unto CRAN and is now propagating to the mirrors. The goal of swephR is to provide an R interface to the Swiss Ephemeris (SE), a high precision ephemeris based upon the DE431 ephemeris from NASA’s JPL. It covers the time range 13201 BCE to 17191 CE. This new version comes with two important changes. First, Victor has finished the laborious task of making all functions from SE’s C API available to R.

tikzDevice v0.12.3

Yesterday tikzDevice version 0.12.3 made it unto CRAN and is now propagating to the mirrors. The tikzDevice package 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 paper typeset by LaTeX, these blocks are interpreted with the help of TikZ—a graphics package for TeX and friends written by Till Tantau.

swephR v0.2.1

This morning swephR version 0.2.1 made it unto CRAN and is now propagating to the mirrors. The goal of swephR is to provide an R interface to the Swiss Ephemeris, a high precision ephemeris based upon the DE431 ephemeris from NASA’s JPL. It covers the time range 13201 BCE to 17191 CE. This new version comes closely after last week’s release and contains only a single albeit important fix to a stack overflow write found by the UBSAN tests done on CRAN.

swephR v0.2.0

This morning swephR version 0.2.0 made it unto CRAN and is now propagating to the mirrors. The goal of swephR is to provide an R interface to the Swiss Ephemeris, a high precision ephemeris based upon the DE431 ephemeris from NASA’s JPL. It covers the time range 13201 BCE to 17191 CE. The new version 0.2.0 brings two important changes. First, the version of the included Swiss Ephemeris has been updated to the current version 2.

RcppArrayFire v0.1.0: Sparse Matrices and support for Mac OS

The RcppArrayFire package provides an interface from R to and from the ArrayFire library, an open source library that can make use of GPUs and other hardware accelerators via CUDA or OpenCL. In order to use RcppArrayFire you will need the ArrayFire library and header files which you can build from source or use up-stream’s binary installer. See previous articles for a general introduction. Version 0.1.0 brings to important changes: Support for sparse matrices and Mac OS

RcppArrayFire

ArrayFire for R via Rcpp

dqrng

Fast Pseudo Random Number Generators for R

swephR

High precission Swiss Ephemeris for R

tikzDevice

Create R graphics as TikZ code for use with LaTeX documents