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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:
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()
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