class for storing and visualisation of regression coefficients for regression models
regcoeffs(coeffs, ci.coeffs = NULL, use.mean = TRUE)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.
array (npred x ncomp x nresp) with regression coefficients
array (npred x ncomp x nresp x cv) with regression coefficients for computing confidence intervals (e.g. from cross-validation) using Jack-Knifing method
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.