The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

rvmethod: Radial Velocity Method for Detecting Exoplanets

Has various functions designed to implement the Hermite-Gaussian Radial Velocity (HGRV) estimation approach of Holzer et al. (2020) <doi:10.48550/arXiv.2005.14083>, which is a particular application of the radial velocity method for detecting exoplanets. The overall approach consists of four sequential steps, each of which has a function in this package: (1) estimate the template spectrum with the function estimate_template(), (2) find absorption features in the estimated template with the function findabsorptionfeatures(), (3) fit Gaussians to the absorption features with the function Gaussfit(), (4) apply the HGRV with simple linear regression by calling the function hgrv(). This package is meant to be open source. But please cite the paper Holzer et al. (2020) <doi:10.48550/arXiv.2005.14083> when publishing results that use this package.

Version: 0.1.2
Depends: R (≥ 2.10)
Imports: parallel, locfit, assertthat
Published: 2020-08-10
DOI: 10.32614/CRAN.package.rvmethod
Author: Parker Holzer
Maintainer: Parker Holzer <parker.holzer at yale.edu>
License: GPL-3
NeedsCompilation: no
Materials: README NEWS
CRAN checks: rvmethod results

Documentation:

Reference manual: rvmethod.pdf

Downloads:

Package source: rvmethod_0.1.2.tar.gz
Windows binaries: r-devel: rvmethod_0.1.2.zip, r-release: rvmethod_0.1.2.zip, r-oldrel: rvmethod_0.1.2.zip
macOS binaries: r-release (arm64): rvmethod_0.1.2.tgz, r-oldrel (arm64): rvmethod_0.1.2.tgz, r-release (x86_64): rvmethod_0.1.2.tgz, r-oldrel (x86_64): rvmethod_0.1.2.tgz
Old sources: rvmethod archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=rvmethod to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.