astrodatR: Astronomical Data
Version 0.1

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.

Getting started

Package details

AuthorEric D. Feigelson
Date of publication2014-08-12 22:20:23
Maintainer"Eric D., Feigelson" <edf@astro.psu.edu>
LicenseGPL
Version0.1
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("astrodatR")

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astrodatR documentation built on May 30, 2017, 3:36 a.m.