ProbaZ

binary adjacency matrix of the structure (size p)

gives the proba under the uniform law for Z. if FALSE and star=FALSE it gives the number of p-sized binary nilpotent matrices

proba

gives the log proba under uniform law for p2

star

Probability of Z without knowing the dataset. It also gives the exact number of binary nilpotent matrices of size p.

Linear regression based on a recursive structural equation model
(explicit multiples correlations) found by a M.C.M.C.(Markov Chain Monte Carlo) algorithm.
It permits to face highly correlated variables. Variable selection is included (by lasso,
elastic net, etc.). It also provides some graphical tools for basic statistics.
For more information about the method, read the PhD thesis of Clement Thery (2015) in the link below.

Clement THERY

CorReg

Linear Regression Based on Linear Structure Between Variables

ProbaZ: Probability of Z without knowing the dataset. It also gives the exact number of binary nilpotent matrices of size p.

Description

Usage

Arguments