Disk-Based Constrained Change-Point Detection
coef PeakSegFPOP df
coef PeakSegFPOP dir
col name list
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PeakSeg penalized solver for data.frame
PeakSeg penalized solver with caching
PeakSegFPOP using disk storage
PeakSeg penalized solver for integer vector
plot PeakSegFPOP df
plot PeakSegFPOP dir
Compute PeakSeg model with given number of peaks
summary PeakSegFPOP dir
wc2int
Write bedGraph file
Disk-based implementation of Functional Pruning Optimal Partitioning with up-down constraints <doi:10.18637/jss.v101.i10> for single-sample peak calling (independently for each sample and genomic problem), can handle huge data sets (10^7 or more).