naive_model

The ratio of 1 in the population (if nb_1 is NULL)

proba_1

The global effective of the population

effectif

The number of 1 in the population. If not NULL proba_1 is not read.default=NULL

nb_1

Describe the result of a naive binary discriminant model

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

naive_model: How would it be if we were naive ?

Description

Usage

Arguments