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LaplaceDeconv  

Laplace Deconvolution with Noisy Discrete Non-Equally Spaced Observations on a Finite Time Interval
View on CRAN: Click here


Download and install LaplaceDeconv package within the R console
Install from CRAN:
install.packages("LaplaceDeconv")

Install from Github:
library("remotes")
install_github("cran/LaplaceDeconv")

Install by package version:
library("remotes")
install_version("LaplaceDeconv", "1.0.4")



Attach the package and use:
library("LaplaceDeconv")
Maintained by
Yves Rozenholc
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-10-29
Latest Update:
Description:
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).
How to cite:
Yves Rozenholc (2015). LaplaceDeconv: Laplace Deconvolution with Noisy Discrete Non-Equally Spaced Observations on a Finite Time Interval. R package version 1.0.4, https://cran.r-project.org/web/packages/LaplaceDeconv. Accessed 16 Oct. 2026.
Previous versions and publish date:
1.0.1 (2015-10-29 08:29), 1.0.2 (2015-10-29 13:03), 1.0.3 (2015-10-31 15:48), 1.0.4 (2016-01-27 20:39), (2026-07-09 08:08)
Other packages that cited LaplaceDeconv R package
View LaplaceDeconv citation profile
Other R packages that LaplaceDeconv depends, imports, suggests or enhances
Functions, R codes and Examples using the LaplaceDeconv R package
Some associated functions: BuildLaguerreSystem . EX_DCEMRI_t0.rda-EX_DCEMRI_t1.rda . LagLaplDeconv . LaguerreLaplaceConvolution . LaplaceConvolution . MakeLaguerreMatrix . 
Some associated R codes: LagLaplaceDeconvolution.R .  Full LaplaceDeconv package functions and examples
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