Linear Regression Based on Linear Structure Between Covariates

Documentation for package ‘CorReg’ version 1.1.9

CorReg-package	Quick tutorial for CorReg package
BicZ	Compute the BIC of a given structure
BoxPlot	Boxplot with confidence interval and ANOVA on the plot.
cleanZ	clean the structure of correlations Z (if BIC improved)
cleanZtest	Clean Z's columns based on p-values (coefficients or global)
compare_struct	To compare sub-regression structures
Conan	Removes missing values (rows and column to obtain a large full matrix)
correg	Linear regression using CorReg's method, with variable selection.
density_estimation	BIC of estimated marginal gaussian mixture densities
Hist	fonction qui va faire des histogrammes par classes
matplot_zone	Matplot with curves comparison by background colors.
mixture_generator	Gaussian mixtures dataset generator with regression between the covariates
MSE_loc	Simple MSE function
readZ	read the structure and explain it
recursive_tree	decision tree in a recursive way
showdata	To show the missing values of a dataset
structureFinder	MCMC algorithm to find a structure between the covariates
Terminator	Destructing values to have missing ones