Package: MSigSeg 0.2.0

MSigSeg: Multiple SIGnal SEGmentation

Traditional methods typically detect breakpoints from individual signals, which means that when applied separately to multiple signals, the breakpoints are not aligned. However, this package implements a common breakpoint detection approach for multiple piecewise constant signals, resulting in increased detection sensitivity and specificity. By employing various techniques, optimal performance is ensured, and computation is accelerated. We hope that this package will be beneficial for researchers in signal processing, bioinformatics, economy, and other related fields. The segmentation(), lambda_estimator() functions are the main functions of this package.

Authors:Xuanyu Liu [aut, cre], Junbo Duan [aut]

MSigSeg_0.2.0.tar.gz
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MSigSeg.pdf |MSigSeg.html
MSigSeg/json (API)

# Install 'MSigSeg' in R:
install.packages('MSigSeg', repos = c('https://lxy123-happy.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • data_test - A simulated data set used for testing.
  • NCHSData - Influenza data set from CDC used as an example.
  • stock - A stock data set used as an example.
  • T16M - A chromosome sequencing data set used as an example.
  • T16P - A chromosome sequencing data set used as an example.

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 250 downloads 10 exports 77 dependencies

Last updated from:d3f8d94090. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK157
source / vignettesOK191
linux-release-x86_64OK155
macos-release-arm64OK144
macos-oldrel-arm64OK217
windows-develOK94
windows-releaseOK93
windows-oldrelOK83
wasm-releaseOK124

Exports:brkpsdata.inputdata.outputlambdalambda_estimatormulti_plotprintseg.lensegmentationsummary

Dependencies:abindbackportsbootbroomcarcarDataclicolorspacecorrplotcowplotcpp11DerivdoBydplyrfarverforecastFormulafracdiffgenericsggplot2ggpubrggrepelggsciggsignifgluegridExtragtableisobandlabelinglatticelifecyclelme4lmtestmagrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamodelrnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpolynompurrrquantregR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrlangrstatixS7scalesSparseMstringistringrsurvivaltibbletidyrtidyselecttimeDateurcautf8vctrsviridisLitewithrzoo