LaplaceDeconv: Laplace Deconvolution with Noisy Discrete Non-Equally Spaced Observations on a Finite Time Interval

Solves the problem of Laplace deconvolution with noisy discrete non-equally spaced observations on a finite time interval based on expansions of the convolution kernel, the unknown function and the observed signal over Laguerre functions basis. It implements the methodology proposed in the paper "Laplace deconvolution on the basis of time domain data and its application to Dynamic Contrast Enhanced imaging" by F. Comte, C-A. Cuenod, M. Pensky and Y. Rozenholc in ArXiv (http://arxiv.org/abs/1405.7107).

Version: 1.0.4
Depends: parallel, polynom, orthopolynom
Published: 2016-01-27
Author: Yves Rozenholc (University Paris Descartes), Marianna Pensky (University of Central Florida)
Maintainer: Yves Rozenholc <yves.rozenholc at parisdescartes.fr>
License: MIT + file LICENSE
NeedsCompilation: no
CRAN checks: LaplaceDeconv results

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Reference manual: LaplaceDeconv.pdf
Package source: LaplaceDeconv_1.0.4.tar.gz
Windows binaries: r-devel: LaplaceDeconv_1.0.4.zip, r-release: LaplaceDeconv_1.0.4.zip, r-oldrel: LaplaceDeconv_1.0.4.zip
OS X El Capitan binaries: r-release: LaplaceDeconv_1.0.4.tgz
OS X Mavericks binaries: r-oldrel: LaplaceDeconv_1.0.4.tgz
Old sources: LaplaceDeconv archive

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