Description Usage Arguments Details Value Examples
Pooled Covariance Estimator
1 | pooled_cov(x, ..., covEst = stats::cov)
|
x |
data as a |
... |
other options passed to estimation method |
covEst |
covariance or precision matrix estimation method |
This function returns the weighted average of a collection of group-
or class-specific covariance or precision matrices. The weights are
proportional to the degrees of freedom of each matrix. This matrix has
the total degrees of freedom stored within the df
attribute as a
formula for simple evaluation by the degreesFreedom
function
The pooled covariance or precision matrix with class covariance
and total degrees of freedom attribute df
as a formula.
1 | pooled_cov(iris, group = Species)
|
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