doi:10.1109/TNB.2013.2284063>, JUmp Local dEconvolution Segmentation filter (JULES), Pein et al. (2018) <doi:10.1109/TNB.2018.2845126>, and Heterogeneous Idealization by Local testing and DEconvolution (HILDE), Pein et al. (2021) <doi:10.1109/TNB.2020.3031202>. Further details on how to use them are given in the accompanying vignette.">

clampSeg: Idealisation of Patch Clamp Recordings (original) (raw)

Implements the model-free multiscale idealisation approaches: Jump-Segmentation by MUltiResolution Filter (JSMURF), Hotz et al. (2013) <doi:10.1109/TNB.2013.2284063>, JUmp Local dEconvolution Segmentation filter (JULES), Pein et al. (2018) <doi:10.1109/TNB.2018.2845126>, and Heterogeneous Idealization by Local testing and DEconvolution (HILDE), Pein et al. (2021) <doi:10.1109/TNB.2020.3031202>. Further details on how to use them are given in the accompanying vignette.

Version: 1.2-0
Depends: R (≥ 3.3.0)
Imports: stepR (≥ 2.1.0), lowpassFilter, stats, methods
Suggests: testthat, R.cache (≥ 0.10.0), R.rsp
Published: 2025-06-27
DOI: 10.32614/CRAN.package.clampSeg
Author: Pein Florian [aut, cre], Timo Aspelmeier [ctb]
Maintainer: Pein Florian <f.pein at lancaster.ac.uk>
License: GPL-3
NeedsCompilation: no
Citation: clampSeg citation info
Materials:
CRAN checks: clampSeg results

Documentation:

Downloads:

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=clampSegto link to this page.