cvMultiMelt: Multiple Heat Map Plot
In cvCovEst: Cross-Validated Covariance Matrix Estimation

cvMultiMelt

R Documentation

Multiple Heat Map Plot

Description

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.

Usage

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`.