The Comprehensive R Analysis Network (CRAN) is a collection of ~5000 extension packages to the public domain R statistical software system. It has been growing exponentially since 2001. This page is an attempt to maintain an up-to-date listing of CRAN packages written specifically for astronomy, given in order of most recently added/modified.
IRACpm (not in CRAN)
RMultiNest (not in CRAN)
Listed by most recent version
(ver 1.4.1, 2017-08-24, Aaron Robotham)
Contains a number of common astronomy conversion routines, particularly the HMS and degrees schemes, which can be fiddly to convert between on mass due to the textural nature of the former. It allows users to coordinate match datasets quickly. It also contains functions for various cosmological calculations.
(ver 2.0.1, 2018-02-06, Mauro Sereno)
Package for Bayesian linear regression in astronomy. The method accounts for heteroscedastic errors in both the independent and the dependent variables, intrinsic scatters (in both variables), time evolution of slopes, normalization and scatters, Malmquist and Eddington bias, and break of linearity. The posterior distribution of the regression parameters is sampled with a Gibbs method exploiting the JAGS library.
(ver. 1.0.0, 2017-10-23, Hyungsuk Tak)
We provide a toolbox to fit a continuous-time fractionally integrated ARMA process (CARFIMA) on univariate and irregularly spaced time series data via frequentist or Bayesian machinery. A general-order CARFIMA(p, H, q) model for p>q is specified in Tsai and Chan (2005)<doi:10.1111/j.1467-9868.2005.00522.x> and it involves p+q+2 unknown model parameters, i.e., p AR parameters, q MA parameters, Hurst parameter H, and process uncertainty (standard deviation) sigma. The package produces their maximum likelihood estimates and asymptotic uncertainties using a global optimizer called the differential evolution algorithm. It also produces their posterior distributions via Metropolis within a Gibbs sampler equipped with adaptive Markov chain Monte Carlo for posterior sampling. These fitting procedures, however, may produce numerical errors if p>2. The toolbox also contains a function to simulate discrete time series data from CARFIMA(p, H, q) process given the model parameters and observation times.
(ver 0.7, 2017-06-14, Stephen Myers)
Routines for astrochronologic testing, astronomical time scale construction, and time series analysis. Also included are a range of statistical analysis and modeling routines that are relevant to time scale development and paleoclimate analysis.
(ver 1.0, 2017-04-30, Alberto Krone-Martins)
Provides easy to use functions to create all-sky grid plots of widely used astronomical coordinate systems (equatorial, ecliptic, galactic) and scatter plots of data on any of these systems including on-the-fly system conversion. It supports any type of spherical projection to the plane defined by the ‘mapproj’ package.
(ver 1.1, 2017-04-03, Alberto Krone-Martins)
An implementation of the UPMASK method for performing membership assignment in stellar clusters in R. It is prepared to use photometry and spatial positions, but it can take into account other types of data. The method is able to take into account arbitrary error models, and it is unsupervised, data-driven, physical-model-free and relies on as few assumptions as possible. The approach followed for membership assessment is based on an iterative process, principal component analysis, a clustering algorithm and a kernel density estimation.
(ver 1.1.0, 2017-12-12, Aaron Robotham)
ProFit is a Bayesian galaxy fitting tool that uses a fast C++ image generation library and a flexible interface to a large number of likelihood samplers.
(ver 1.5, 2015-09-28, Willem Daniel Schutte)
Provides functions to non-parametrically estimate the off-pulse interval of a source function originating from a pulsar. The technique is based on a sequential application of P-values obtained from goodness-of-fit tests for the uniform distribution, such as the Kolmogorov-Smirnov, Cramer-von Mises, Anderson-Darling and Rayleigh goodness-of-fit tests.
(ver. 0.2-0, 2015-01-05, Matteo Dell’Omodarme)
A package to estimate stellar mass and radius given observational data of effective temperature, [Fe/H], and astroseismic parameters. The results are obtained adopting a maximum likelihood technique over a grid of computed stellar models.
(ver. 0.1-1, 2014-12-20, Matteo Dell’Omodarme)
SCEPtER pipeline for estimating the stellar age for double-lined detached binary systems. The observational constraints adopted in the recovery are the effective temperature, the metallicity [Fe/H], the mass, and the radius of the two stars. The results are obtained adopting a maximum likelihood technique over a grid of pre-computed stellar models.
(ver 1.0, 2014-12-04, William Kyle Hamilton)
Access to the Digital Universe Data set API pulls data on exoplants, stars, and galaxies.
RobPer: Periodogram methods for irregularly samples time series
(ver 1.2, 2014-10-3, Anita M. Thieler, Jonathan Rathjens and Roland Fried)
Package to calculate periodograms based on (robustly) fitting periodic functions to light curves (irregularly observed time series, possibly with measurement accuracies, occurring in astroparticle physics). Three main functions are included: RobPer calculates the periodogram. Outlying periodogram bars (indicating a period) can be detected with betaCvMfit. Artificial light curves can be generated using the function tsgen. For more details see Thieler, Fried and Rathjens (2013).
(ver 1.2, 2014-09-08, Lee Kelvin)
A variety of tools treating cosmology, FITS I/O, Sersic function modeling for galaxy images, plotting utilities, and more.
(ver 0.1, 2014-08-24, Rafael de Souza)
User-friendly interfaces to perform fast and reliable galaxy photometric redshift estimation. Accurate estimation of galaxy redshifts (distances) from broad-band photometry is essential for many problems in observational cosmology and extragalactic astronomy. The code makes use of generalized linear models and can adopt gamma or inverse gaussian families, either from a frequentist or a Bayesian perspective. The code additionally provides a `shiny’ application providing a simple interactive user interface.
(ver 0.1, 2014-08-12, Eric Feigelson)
A collection of 19 datasets from contemporary astronomical research, mostly from the textbook ‘Modern Statistical Methods for Astronomy with R Applications’ by Eric D. Feigelson and G. Jogesh Babu (Cambridge University Press, 2012, Appendix C). They cover: 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.
(ver. 0.3, 2014-08-09, Eric Feigelson)
Several dozen low-level utilities and codes from the Interactive Data Language (IDL) Astronomy Users Library (http://idlastro.gsfc.nasa.gov) are implemented in R. They treat: time, coordinate and proper motion transformations; terrestrial precession and nutation, atmospheric refraction and aberration, barycentric corrections, and related effects; utilities for astrometry, photometry, and spectroscopy; and utilities for planetary, stellar, Galactic, and extragalactic science.
CRAC: Cosmology R Analysis Code
(ver. 1.0, 2014-02-15, Jiayi Liu)
R functions for cosmological research. The main functions are similar to the python library, cosmolopy.
moonsun: Basic astronomical calculations with R
(ver. 0.1.3, 2013-12-30, Lukasz Komsta)
A collection of basic astronomical routines for R based on “Practical astronomy with your calculator” by Peter Duffet-Smith
(ver 1.7, 2013-10-28, Aaron Robotham)
Functions to make useful (and pretty) plots for scientific plotting. Additional plotting features are added for base plotting, with particular emphasis on making attractive log axis plots.
(ver 1.5, 2013-10-22, Aaron Robotham)
Various functions for creating spherical coordinate system plots via extensions to rgl.
snapshot: Gadget N-body simulation code snapshot I/O utilities
(ver 0.1.2, 2013-10-22, Aaron Robotham)
Functions for reading and writing snapshots from videos produced by the Gadget code which is popular in astrophysics for running simulations N-body + hydrodynamical cosmological structure formation and galaxy mergers.
FITSio: FITS (Flexible Image Transport System) utilities
(ver. 2.0-0, 2013-10-12, Andrew Harris)
Utilities to read and write files in the FITS (Flexible Image Transport System) format, a standard format in astronomy. Present low-level routines allow: * Reading, parsing and editing FITS headers * Reading FITS images (multi-dimensional arrays) * Reading FITS binary tables * Writing FITS images (multi-dimensional arrays). Higher-level functions allow: * Reading files composed of one or more headers and a single (perhaps multidimensional) image or single bintable * Reading bintables into data frames * Generating vectors for image array axes * Scaling and writing images as 16-bit integers Known incompletenesses are reading FITS ASCII table and random group extensions, as well as bit, complex, and array descriptor data types in binary tables.
(ver. 0.1-0, Matteo Dell’Omodarme)
Grid of stellar models computed with various initial helium abundances and different mixing-length values.
stellaR: stellar evolution tracks and isochrones
(ver. 0.3-3, 2013-01-21, Matteo Dell’Omodarme)
A package to manage and display stellar tracks and isochrones from Pisa low-mass database. Includes tools for isochrones construction and tracks interpolation.
cosmoFns: Functions for cosmological distances, times, luminosities, etc
(ver. 1.0-1, 2012-12-15, Andrew Harris)
Package encapsulates standard expressions for distances, times, luminosities, and other quantities useful in observational cosmology, including molecular line observations. Currently coded for a flat universe only.
(ver. 4.1-0, 2012-09-29, Andrew Harris)
Miscellaneous astronomy functions, utilities, and data.
(ver. 0.1.2, 2009-10-21, Daniel Haase)
Implementation of the “Ringscale” method as proposed in the student research project “DETECTION OF FAINT COMPANIONS AROUND YOUNG STARS IN SPECKLE PATTERNS OF VLT/NACO CUBE MODE IMAGES BY MEANS OF POST-PROCESSING” at the Friedrich-Schiller-University of Jena.
Non-CRAN R packages on GitHub
This code allows likelihood functions written in R to be used by MultiNest. MultiNest treats Bayesian inference for high-dimensional parameter estimation and model selection when multimodal posteriors and computationally expensive likelihoods are present using importance nested sampling. The main program will connect to R using Rserve. It will run MultiNest, and for each point evaluation call the user-defined R callback function. It runs MultiNews written by Farhan Feroz and Mike Hobson (ver 3.4, Oct 2013). MultiNest is described by Feroz et al. (2009, 2013).
Applies a 7-8 order distortion correction to IRAC astrometric data from the Spitzer Space Telescope and includes a function for measuring apparent proper motions between different epochs.