The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
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[@]dogado.de.
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 |
Reference manual: | rvmethod.pdf |
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 |
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.
Health stats visible at Monitor.