Showing 7 of total 7 results (show query)
ropensci
exoplanets:Access NASA's Exoplanet Archive Data
The goal of exoplanets is to provide access to NASA's Exoplanet Archive TAP Service. For more information regarding the API please read the documentation <https://exoplanetarchive.ipac.caltech.edu/index.html>.
Maintained by Tyler Littlefield. Last updated 2 years ago.
75.6 match 13 stars 3.81 score 6 scripts
thothorn
HSAUR3:A Handbook of Statistical Analyses Using R (3rd Edition)
Functions, data sets, analyses and examples from the third edition of the book ''A Handbook of Statistical Analyses Using R'' (Torsten Hothorn and Brian S. Everitt, Chapman & Hall/CRC, 2014). The first chapter of the book, which is entitled ''An Introduction to R'', is completely included in this package, for all other chapters, a vignette containing all data analyses is available. In addition, Sweave source code for slides of selected chapters is included in this package (see HSAUR3/inst/slides). The publishers web page is '<https://www.routledge.com/A-Handbook-of-Statistical-Analyses-using-R/Hothorn-Everitt/p/book/9781482204582>'.
Maintained by Torsten Hothorn. Last updated 7 months ago.
4.5 match 6 stars 6.72 score 120 scripts 2 dependentsthothorn
HSAUR:A Handbook of Statistical Analyses Using R (1st Edition)
Functions, data sets, analyses and examples from the book ''A Handbook of Statistical Analyses Using R'' (Brian S. Everitt and Torsten Hothorn, Chapman & Hall/CRC, 2006). The first chapter of the book, which is entitled ''An Introduction to R'', is completely included in this package, for all other chapters, a vignette containing all data analyses is available.
Maintained by Torsten Hothorn. Last updated 3 years ago.
4.5 match 6.07 score 253 scripts 5 dependentsthothorn
HSAUR2:A Handbook of Statistical Analyses Using R (2nd Edition)
Functions, data sets, analyses and examples from the second edition of the book ''A Handbook of Statistical Analyses Using R'' (Brian S. Everitt and Torsten Hothorn, Chapman & Hall/CRC, 2008). The first chapter of the book, which is entitled ''An Introduction to R'', is completely included in this package, for all other chapters, a vignette containing all data analyses is available. In addition, the package contains Sweave code for producing slides for selected chapters (see HSAUR2/inst/slides).
Maintained by Torsten Hothorn. Last updated 2 years ago.
4.5 match 5.51 score 181 scripts 1 dependents
jonlachmann
FBMS:Flexible Bayesian Model Selection and Model Averaging
Implements the Mode Jumping Markov Chain Monte Carlo algorithm described in <doi:10.1016/j.csda.2018.05.020> and its Genetically Modified counterpart described in <doi:10.1613/jair.1.13047> as well as the sub-sampling versions described in <doi:10.1016/j.ijar.2022.08.018> for flexible Bayesian model selection and model averaging.
Maintained by Jon Lachmann. Last updated 18 days ago.
3.5 match 2.45 score 28 scripts
parkerholzer
rvmethod:Radial Velocity Method for Detecting Exoplanets
Has various functions designed to implement the Hermite-Gaussian Radial Velocity (HGRV) estimation approach of Holzer et al. (2020) <arXiv:2005.14083>, which is a particular application of the radial velocity method for detecting exoplanets. The overall approach consists of four sequential steps, each of which has a function in this package: (1) estimate the template spectrum with the function estimate_template(), (2) find absorption features in the estimated template with the function findabsorptionfeatures(), (3) fit Gaussians to the absorption features with the function Gaussfit(), (4) apply the HGRV with simple linear regression by calling the function hgrv(). This package is meant to be open source. But please cite the paper Holzer et al. (2020) <arXiv:2005.14083> when publishing results that use this package.
Maintained by Parker Holzer. Last updated 5 years ago.
3.5 match 1 stars 1.70 score 8 scripts
cran
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.
Maintained by "Eric D., Feigelson". Last updated 11 years ago.
4.0 match 1 stars 1.00 score 8 scripts