plot_cv_pair_correlation: Plot CV parameter pair correlations

In eam: Evidence Accumulation Models

Plot CV parameter pair correlations

Description

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)

eam documentation built on March 29, 2026, 5:07 p.m.