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Plot CV parameter pair correlations

Source: R/plot_cv_pair_correlation.R
plot_cv_pair_correlation.Rd

Create a matrix of pairwise plots for cross-validation parameter estimates, including scatter plots with fitted trends, rank correlations, and marginal distributions.

Usage

plot_cv_pair_correlation(data, ...)

# S3 method for class 'cv4abc'
plot_cv_pair_correlation(data, ...)

Arguments

data

A cv4abc object containing true parameters and cross-validated estimates.

...

Additional arguments:

interactive

Logical; whether to pause between tolerance levels and wait for input

Value

Invisibly returns `NULL`. Called for its side effect of producing plots.

See also

plot_cv_pair_correlation.cv4abc

Examples

# Load CV output from saved file
cv_file <- system.file(
  "extdata", "rdm_minimal", "abc", "cv", "neuralnet.rds",
  package = "eam"
)
abc_neuralnet_cv <- readRDS(cv_file)

# Plot parameter pair correlations
plot_cv_pair_correlation(abc_neuralnet_cv)