Package: MSigSeg 0.2.0
Xuanyu Liu
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:
MSigSeg_0.2.0.tar.gz
MSigSeg_0.2.0.tar.gz(r-4.5-noble)MSigSeg_0.2.0.tar.gz(r-4.4-noble)
MSigSeg_0.2.0.tgz(r-4.4-emscripten)MSigSeg_0.2.0.tgz(r-4.3-emscripten)
MSigSeg.pdf |MSigSeg.html✨
MSigSeg/json (API)
| # Install 'MSigSeg' in R: |
| install.packages('MSigSeg', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 10 months agofrom:d3f8d94090. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Sep 08 2024 |
| R-4.5-linux | OK | Sep 08 2024 |
Exports:brkpsdata.inputdata.outputlambdalambda_estimatormulti_plotprintseg.lensegmentationsummary
Dependencies:abindbackportsbootbroomcarcarDataclicolorspacecorrplotcowplotcpp11DerivdoBydplyrfansifarvergenericsggplot2ggpubrggrepelggsciggsignifgluegridExtragtableisobandlabelinglatticelifecyclelme4magrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamodelrmunsellnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpolynompurrrquantregR6RColorBrewerRcppRcppEigenrlangrstatixscalesSparseMstringistringrsurvivaltibbletidyrtidyselectutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Generic Function-brkps. | brkps brkps,MSigSeg-method |
| Breakpoints matrix generation. | change |
| A simulated data set used for testing. | data_test |
| Generic Function-data.input. | data.input data.input,MSigSeg-method |
| Generic Function-data.output. | data.output data.output,MSigSeg-method |
| Generic Function-lambda. | lambda lambda,MSigSeg-method |
| Detecting common breakpoints with designated number. | lambda_estimator |
| An S4 class to encapsulation the result of breakpoints analysis. | MSigSeg-class |
| Plot function of MSigSeg package. | multi_plot |
| influenza data set from CDC used as an example. | NCHSData |
| Noisegen. | noisegen |
| Generic Function-print. | print print,MSigSeg-method |
| Generic Function-seg.len. | seg.len seg.len,MSigSeg-method |
| Detecting common change points for multiple signals. | segmentation |
| A stock data set used as an example. | stock |
| Generic Function-summary. | summary summary,MSigSeg-method |
| A chromosome sequencing data set used as an example. | T16M |
| A chromosome sequencing data set used as an example. | T16P |