Regression coefficients
class for storing and visualisation of regression coefficients for regression models
regcoeffs(coeffs, ci.coeffs = NULL, use.mean = TRUE)
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.
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.