dcemriS4 0.34

October 9, 2010
By

(This article was first published on dcemri, and kindly contributed to R-bloggers)

The R package dcemriS4 is a collection of functions, with examples and documentation, that allows one to perform voxel-wise quantitative analysis of dynamic contrast-enhanced MRI (DCE-MRI) or diffusion-weighted imaging (DWI) data.  The primary application of this methodology is oncology, but applications to other therapeutic areas (such as neuroscience or inflammation) are equally possible. 

The latest version of dcemriS4 (0.34) has been released on CRAN. New features include:
  • Added kety.orton.exp and kety.orton.cos models to dcemri.{bayes,lm,map}()
  • Bayesian penalized splines via dcemri.spline()
  • Deviance Information Criterion (DIC) available in dcemri.bayes()
  • New prior distribution specifications for dcemri.bayes()
Please use the mailing list for any suggestions or contact [email protected].

To leave a comment for the author, please follow the link and comment on his blog: dcemri.

R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...



If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

Comments are closed.