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clampSeg: Idealisation of Patch Clamp Recordings

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: ChangeLog
CRAN checks: clampSeg results

Documentation:

Reference manual: clampSeg.pdf
Vignettes: R packages: LaTeX vignettes (source)

Downloads:

Package source: clampSeg_1.2-0.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: clampSeg_1.2-0.zip
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): clampSeg_1.2-0.tgz, r-oldrel (x86_64): clampSeg_1.2-0.tgz
Old sources: clampSeg archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.