cvMultiMelt()
visualizes the structure of one or more
covariance matrix estimators through a grid of heat maps, where each heat
map corresponds to a different estimator.
cvMultiMelt(
dat,
estimator,
stat = "min",
dat_orig,
plot_type = "heatmap",
cv_details,
has_hypers,
abs_v = TRUE
)
Arguments
dat |
A named list . Specifically, this is the standard output of
cvCovEst . |
estimator |
A character vector specifying one or more classes of
estimators to visualize and compare. |
stat |
A character vector containing the names of various
cross-validated risk summary statistics. Estimators corresponding to each
statistics will be visualized with a different heatmap. Default is
'min' for minimum cross-validated risk. |
dat_orig |
The numeric data.frame , matrix , or similar
object originally passed to cvCovEst() . |
plot_type |
A character detailing the type of plot. Passed to
theme_cvCovEst , defaults to "risk" |
cv_details |
A character vector summarizing key arguments passed
to cvCovEst() . |
has_hypers |
A character vector containing the names of current
estimators with hyperparameters. |
abs_v |
A logical determining if the absolute value of the matrix
entries should be displayed versus the signed value. Default is TRUE . |
Value
A grid of heat map plots comparing the desired covariance matrix
estimators.