regcoeffs: Regression coefficients

In svkucheryavski/mdatools: Multivariate Data Analysis for Chemometrics

Regression coefficients

Description

class for storing and visualisation of regression coefficients for regression models

Usage

regcoeffs(coeffs, ci.coeffs = NULL, use.mean = TRUE)

Arguments

coeffs	array (npred x ncomp x nresp) with regression coefficients
ci.coeffs	array (npred x ncomp x nresp x cv) with regression coefficients for computing confidence intervals (e.g. from cross-validation) using Jack-Knifing method
use.mean	logical, tells how to compute standard error for regression coefficients. If TRUE mean values for ci.coeffs is computed first. If FALSE, values (coefficients computed for global model) are used as mean.

Value

a list (object of regcoeffs class) with fields, including:

values	an array (nvar x ncomp x ny) with regression coefficients
se	an array (nvar x ncomp x ny) with standard errors for the coefficients
t.values	an array (nvar x ncomp x ny) with t-values for the coefficients
p.values	an array (nvar x ncomp x ny) with p-values for coefficients

last three fields are available if parameter ci.coeffs was provided.

Check also confint.regcoeffs, summary.regcoeffs and plot.regcoeffs.

svkucheryavski/mdatools documentation built on Aug. 4, 2024, 2:24 p.m.