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clampSeg  

Idealisation of Patch Clamp Recordings
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("clampSeg", "1.1-1")



Attach the package and use:
library("clampSeg")
Maintained by
Pein Florian
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-06-07
Latest Update: 2023-05-19
Description:
Implements the model-free multiscale idealisation approaches: Jump-Segmentation by MUltiResolution Filter (JSMURF) , JUmp Local dEconvolution Segmentation filter (JULES) and Heterogeneous Idealization by Local testing and DEconvolution (HILDE) . Further details on how to use them are given in the accompanying vignette.
How to cite:
Pein Florian (2017). clampSeg: Idealisation of Patch Clamp Recordings. R package version 1.1-1, https://cran.r-project.org/web/packages/clampSeg. Accessed 04 Apr. 2025.
Previous versions and publish date:
1.0-1 (2017-06-07 08:11), 1.0-3 (2018-04-12 23:37), 1.0-4 (2018-05-25 17:58), 1.0-5 (2019-11-05 21:30), 1.1-0 (2020-08-25 14:10), 1.1-1 (2022-01-28 00:10)
Other packages that cited clampSeg R package
View clampSeg citation profile
Other R packages that clampSeg depends, imports, suggests or enhances
Functions, R codes and Examples using the clampSeg R package
Some associated functions: clampSeg-package . createLocalList . deconvolveLocally . getCritVal . gramA . hilde . improveSmallScales . jsmurf . jules . lowpassFilter . stepDetection . 
Some associated R codes: createLocalList.R . deconvolveLocally.R . getCritVal.R . hilde.R . improveSmallScales.R . jsmurf.R . jules.R . stepDetection.R .  Full clampSeg package functions and examples
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