cleanZ

binary adjacency matrix of the structure (size p)

the BIC of the null hypothesis (used for independent variables)

Bic_null_vect

parameter for OLS (matrix inversion) methode_BIC  parameter for OLS (matrix inversion) 1:householderQr, 2:colPivHouseholderQr

methode

if TRUE returns the vector of BIC for each step

plot

0:none, 1:BIC,step and complexity when best BIC found 2:BIC, step, complexity, nb candidates and best candidate when best BIC found

verbose

boolean defining wether classical BIC or BIC* is computed

star

Linear regression based on a recursive structural equation model
    (explicit correlations) found by a MCMC algorithm. It permits to face
    highly correlated covariates. Variable selection is included (by lasso,
    elastic net, etc.). It also provides some graphical tools for basic
    statistics and regression trees.

cleanZ: clean Z (if BIC improved)

Description

Usage

Arguments