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PeakSegOptimal (version 2024.10.1)

Optimal Segmentation Subject to Up-Down Constraints

Description

Computes optimal changepoint models using the Poisson likelihood for non-negative count data, subject to the PeakSeg constraint: the first change must be up, second change down, third change up, etc. For more info about the models and algorithms, read "Constrained Dynamic Programming and Supervised Penalty Learning Algorithms for Peak Detection" by TD Hocking et al.

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install.packages('PeakSegOptimal')

Monthly Downloads

205

Version

2024.10.1

License

GPL-3

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Maintainer

Toby Hocking

Last Published

October 2nd, 2024

Functions in PeakSegOptimal (2024.10.1)

PeakSegPDPA

PeakSegPDPA
PeakSegPDPAchrom

PeakSegPDPAchrom
PeakSegFPOPchrom

PeakSegFPOPchrom
H3K4me3_XJ_immune_chunk1

H3K4me3_XJ_immune chunk 1
PoissonLoss

PoissonLoss
PeakSegPDPAInf

PeakSegPDPAInf
oracleModelComplexity

oracleModelComplexity
PeakSegFPOP

PeakSegFPOP
H3K4me3_PGP_immune_chunk24

H3K4me3_PGP_immune ChIP-seq data set chunk 24