bootstrapCI

A numeric vector of statistics for which to compute a 
confidence interval.

stat

An integer giving the number of bootstrap samples.

A real number comprised in ]0, 1[ : 
1 - desired confidence level.

alpha

Given the hypothesis of a bi-modal distribution of cells for
each marker, the algorithm constructs a binary tree, the nodes of which are
subpopulations of cells. At each node, observed cells and markers are modeled
by both a family of normal distributions and a family of bi-modal normal mixture
distributions. Splitting is done according to a normalized difference of AIC
between the two families. Method is detailed in: Commenges, Alkhassim, Gottardo,
Hejblum & Thiebaut (2018) <doi: 10.1002/cyto.a.23601>.

bootstrapCI: Bootstrapped Confidence Interval.

Description

Usage

Arguments