flowClust2Prior: Generate a prior specification based on a flowClust model...

In RGLab/flowStats: Statistical methods for the analysis of flow cytometry data

Generate a prior specification based on a flowClust model This function generates a prior specification based on a flowClust fit object It can be passed to a second round of flowClust() with usePrior="yes" The prior could be estimated from a single sample, for example, and then used to speed up the convergence for other samples.

Description

Generate a prior specification based on a flowClust model This function generates a prior specification based on a flowClust fit object It can be passed to a second round of flowClust() with usePrior="yes" The prior could be estimated from a single sample, for example, and then used to speed up the convergence for other samples.

Usage

flowClust2Prior(x, kappa, Nt = NULL, addCluster = NULL)

Arguments

x	a flowClust fit object
kappa	is the fraction of equivalent observations by which to weight this prior relative to the flowClust model.
Nt	the number of total equivalent observation
addCluster	not currently supported

RGLab/flowStats documentation built on July 20, 2023, 1:33 a.m.