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astrodatR: Astronomical Data

A collection of 19 datasets from contemporary astronomical research. They are described the textbook ‘Modern Statistical Methods for Astronomy with R Applications’ by Eric D. Feigelson and G. Jogesh Babu (Cambridge University Press, 2012, Appendix C) or on the website of Penn State's Center for Astrostatistics (http://astrostatistics.psu.edu/datasets). These datasets can be used to exercise methodology involving: density estimation; heteroscedastic measurement errors; contingency tables; two-sample hypothesis tests; spatial point processes; nonlinear regression; mixture models; censoring and truncation; multivariate analysis; classification and clustering; inhomogeneous Poisson processes; periodic and stochastic time series analysis.

Version: 0.1
Published: 2014-08-12
DOI: 10.32614/CRAN.package.astrodatR
Author: Eric D. Feigelson
Maintainer: "Eric D., Feigelson" <edf at astro.psu.edu>
License: GPL-2 | GPL-3 [expanded from: GPL]
NeedsCompilation: no
Citation: astrodatR citation info
In views: ChemPhys
CRAN checks: astrodatR results

Documentation:

Reference manual: astrodatR.pdf

Downloads:

Package source: astrodatR_0.1.tar.gz
Windows binaries: r-devel: astrodatR_0.1.zip, r-release: astrodatR_0.1.zip, r-oldrel: astrodatR_0.1.zip
macOS binaries: r-release (arm64): astrodatR_0.1.tgz, r-oldrel (arm64): astrodatR_0.1.tgz, r-release (x86_64): astrodatR_0.1.tgz, r-oldrel (x86_64): astrodatR_0.1.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=astrodatR 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.