ProFit: Fit Projected 2D Profiles to Galaxy Images

Get data / Define model / ??? / ProFit! 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.

Version: 1.1.0
Depends: R (≥ 3.0), Rcpp (≥ 0.11.6), magicaxis (≥ 2.0.3), celestial (≥ 1.4.1), FITSio
Imports: fftw, R2Cuba, RColorBrewer, LaplacesDemon, methods
LinkingTo: Rcpp
Suggests: knitr, rmarkdown, foreach, doParallel, EBImage, akima, imager, ProFound, sn
Published: 2017-12-12
Author: Aaron Robotham, Dan Taranu, Rodrigo Tobar
Maintainer: Aaron Robotham <aaron.robotham at uwa.edu.au>
BugReports: https://github.com/ICRAR/ProFit/issues
License: LGPL-3
URL: https://github.com/ICRAR/ProFit
NeedsCompilation: yes
Citation: ProFit citation info
Materials: NEWS
CRAN checks: ProFit results

Downloads:

Reference manual: ProFit.pdf
Vignettes: ProFit: Galaxy Fitting Example
Vignette Title
ProFit: Making a Complex Model Image
ProFit: OpenCL and OpenMP Support
ProFit: PSF Convolution Can Be Convoluted
ProFit: PSF Fitting Example
ProFit: Sigma Maps
ProFit: The Full Monty
Package source: ProFit_1.1.0.tar.gz
Windows binaries: r-devel: ProFit_1.1.0.zip, r-release: ProFit_1.1.0.zip, r-oldrel: ProFit_1.1.0.zip
OS X El Capitan binaries: r-release: ProFit_1.1.0.tgz
OS X Mavericks binaries: r-oldrel: ProFit_1.0.2.tgz
Old sources: ProFit archive

Reverse dependencies:

Reverse suggests: ProFound

Linking:

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