Estimate confidence intervals of TCN and DH segment levels using bootstrap.
# S3 method for PairedPSCBS
bootstrapTCNandDHByRegion(fit, B=1000L, boot=NULL, ..., probs=c(0.025, 0.05, 0.95,
0.975), statsFcn=NULL, what=c("segment", "changepoint"), force=FALSE, verbose=FALSE,
.debug=FALSE)Returns a PairedPSCBS object.
A positive integer specifying the number of bootstrap samples.
Alternatively, to generating B bootstrap samples,
this specifies a pre-generated set of bootstrap samples as
returned by bootstrapSegmentsAndChangepoints().
Additional arguments passed to bootstrapSegmentsAndChangepoints().
The default quantiles to be estimated.
A (optional) function that estimates confidence
intervals given locus-level data.
If NULL, the quantile function is used.
If TRUE, already existing estimates are ignored,
otherwise not.
See Verbose.
(internal) If TRUE, additional sanity checks are
performed internally.
Henrik Bengtsson