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
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

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