spearr: Spearman regression coefficient

In depcoeff: Dependency Coefficients

Description

The function spearr evaluates the multivariate Spearman regression coefficient. It describes how well the target variable y can be fit by a function of regressor variables which is increasing w.r.t. some regressors and decreasing w.r.t. the other regressors.

Usage

spearr(x,y,direction=NULL,out=0)

Arguments

x	data matrix of regressor variables
y	data vector of the target variable
direction	vector of length d (d is number of regressors), value 1 refers to regressors leading to increasing y whenever this regressor increases, value -1 refers to regressors leading to decreasing y whenever this regressor increases. If direction=NULL, then all coefficients are computed.
out	value 1: full output, value 0: reduced output, only coefficients that are largest in absolute value

Value

list of Spearman regression coefficients for several directions

References

Eckhard Liebscher (2019). A copula-based dependence measure for regression analysis. submitted

Examples

library(MASS)
data <- gilgais
spearr(data[,1:3],data[,4],out=1)

depcoeff documentation built on Jan. 23, 2020, 5:06 p.m.