Compute a grid of standard deviations to scale the canonical covariance matrices.

Function to compute a grid of standard deviations from univariate simple linear regression summary statistics

autoselect.mixsd(data, mult = 2)

Arguments

data

a list with two elements. 1 - Bhat, a numeric vector of regression coefficients. 2 - Shat, a numeric vector of of standard erros for the regression coefficients.

mult

a scalar affecting how dense the resulting grid of standard deviations will be.

Value

A numeric vector of standard deviations.