fgr2st: Calculates an independence graph using repeated stepwise...

Description Usage Arguments Value Examples

View source: R/fgr2st.R

Description

Calculates a dependency graph using repeated Gaussian stepwise selection

Usage

1
fgr2st(x,p0=0.01,ind=0,nu=1,kmn=0,kmx=0,nedge=10^5,inr=T,xinr=F)

Arguments

x

Matrix of covariates

p0

Cut-off P-value

ind

Restricts the dependent nodes to this subset

nu

The order statistic of Gaussian covariates used for comparison.

kmn

The minimum number of selected variables for each node irrespective of cut-off P-value

kmx

The maximum number of selected variables for each node irrespective of cut-off P-value

nedge

Maximum number of edges

inr

Logical, if TRUE include an intercept

xinr

Logical, if TRUE intercept already included

Value

ned Number of edges

edg List of edges giving nodes (covariates), the approximations for each node, the covariates in the approximation and the corresponding P-values.

Examples

1
2
data(redwine)
a<-fgr2st(redwine[,1:11],ind=4:8) 

gausscov documentation built on Jan. 17, 2022, 9:06 a.m.

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