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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 |
| Reference manual: | astrodatR.pdf |
| 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 |
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