extract_tree: Extract sub result from result of the ffw

In william-denault/ffw: A package to perform Fast functional association analysis based on wavelets

Description

Function to performed zoomed analysis of the wavelet screaming output

Usage

extract_tree(res, lev_res, thresh)

Arguments

res	Output of Wavelet_screaming.
lev_res	the maximum level of resolution needed, has to be less or equal to the request level of resolution in the Wavelet_screaming.
thresh	Minimal value of the Bayes Factor to defined the a sub region, if missing set as 1.

Value

A vector correpsonding of the sub tree for the zoomed analysis.

Examples

## Not run: 

#using res for the ffw exemple


sub_analysis <- function(res, lev_res )
{
 sub <- extract_tree(res,lev_res=lev_res)
 my_pi <- adaptative_EM_Lambda(sub)
 out <-  adaptative_Lambda (my_pi, sub)
 return(out)
}


sub_analysis(res, 6)


## End(Not run)

william-denault/ffw documentation built on Jan. 20, 2021, 8:28 p.m.