Package: SCEPtERbinary 0.1-1

SCEPtERbinary: Stellar CharactEristics Pisa Estimation gRid for Binary Systems

SCEPtER pipeline for estimating the stellar age for double-lined detached binary systems. The observational constraints adopted in the recovery are the effective temperature, the metallicity [Fe/H], the mass, and the radius of the two stars. The results are obtained adopting a maximum likelihood technique over a grid of pre-computed stellar models.

Authors:Matteo Dell'Omodarme [aut, cre], Giada Valle [aut]

SCEPtERbinary_0.1-1.tar.gz
SCEPtERbinary_0.1-1.zip(r-4.7)SCEPtERbinary_0.1-1.zip(r-4.6)SCEPtERbinary_0.1-1.zip(r-4.5)
SCEPtERbinary_0.1-1.tgz(r-4.6-x86_64)SCEPtERbinary_0.1-1.tgz(r-4.6-arm64)SCEPtERbinary_0.1-1.tgz(r-4.5-x86_64)SCEPtERbinary_0.1-1.tgz(r-4.5-arm64)
SCEPtERbinary_0.1-1.tar.gz(r-4.7-arm64)SCEPtERbinary_0.1-1.tar.gz(r-4.7-x86_64)SCEPtERbinary_0.1-1.tar.gz(r-4.6-arm64)SCEPtERbinary_0.1-1.tar.gz(r-4.6-x86_64)
SCEPtERbinary_0.1-1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
SCEPtERbinary/json (API)

# Install 'SCEPtERbinary' in R:
install.packages('SCEPtERbinary', repos = c('https://mattdell71.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 2 scripts 146 downloads 4 exports 2 dependencies

Last updated from:c969081fd3. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK133
linux-devel-x86_64OK126
source / vignettesOK122
linux-release-arm64OK102
linux-release-x86_64OK94
macos-release-arm64OK78
macos-release-x86_64OK219
macos-oldrel-arm64OK81
macos-oldrel-x86_64OK200
windows-develOK68
windows-releaseOK63
windows-oldrelOK55
wasm-releaseOK105

Exports:blockerrorObsBinestimateBinsampleBinStar

Dependencies:MASSSCEPtER