Package: astrodatR 0.1

"Eric D., Feigelson"

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.

Authors:Eric D. Feigelson

astrodatR_0.1.tar.gz
astrodatR_0.1.tar.gz(r-4.5-noble)astrodatR_0.1.tar.gz(r-4.4-noble)
astrodatR_0.1.tgz(r-4.4-emscripten)astrodatR_0.1.tgz(r-4.3-emscripten)
astrodatR.pdf |astrodatR.html
astrodatR/json (API)

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

Peer review:

Datasets:

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

0 exports 1 stars 0.09 score 0 dependencies 8 scripts 199 downloads

Last updated 10 years agofrom:c8a27459b3. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 25 2024
R-4.5-linuxOKAug 25 2024

Exports:

Dependencies: