meanAdjAgree: Calculate mean adjusted agreement to investigate variables...

In StephanSeifert/SurrogateMinimalDepth: Surrogate minimal depth variable importance

Calculate mean adjusted agreement to investigate variables relations

Description

This is the main function of var.relations function.

Usage

meanAdjAgree(
  trees,
  variables,
  allvariables,
  candidates,
  t,
  s.a,
  select.var,
  num.threads = NULL
)

Arguments

trees	list of trees created by getTreeranger, addLayer and addSurrogate.
variables	vector of variable names.
allvariables	vector of all variable names (strings)
candidates	vector of variable names (strings) that are candidates to be related to the variables (has to be contained in allvariables)
t	variable to calculate threshold. Default is 3.
s.a	average number of surrogate variables (ideally calculated by count.surrogates function).
select.var	set False if only relations should be calculated and no related variables should be selected.
num.threads	number of threads used for parallel execution. Default is number of CPUs available.

Value

a list containing:

• variables: the variables to which relations are investigated

• surr.res: matrix with mean adjusted agreement values and variables investigated in rows and candidate variables in columns

• threshold: the threshold used to create surr.var from surr.res

• surr.var: binary matrix showing if the variables are related (1) or non-related (0) with variables in rows and candidates in columns.

StephanSeifert/SurrogateMinimalDepth documentation built on Aug. 7, 2023, 1:59 a.m.