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Plot CV parameter recovery

Source: R/plot_cv_recovery.R
plot_cv_recovery.Rd

Visualize parameter recovery from cross-validation results, showing estimated vs. true parameter values and residual distributions for each parameter.

Usage

plot_cv_recovery(data, ...)

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

Arguments

data

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

...

Additional arguments:

n_rows

Integer; number of rows in the plot grid (default: 3)

n_cols

Integer; number of columns in the plot grid, multiplied by 2 for paired plots (default: 1)

method

Character; smoothing method for geom_smooth (default: "lm")

formula

Formula; used in geom_smooth (default: y ~ x)

resid_tol

Numeric; quantile threshold for filtering residuals by absolute value. If specified, only observations with residuals below this quantile are plotted (default: NULL, no filtering)

interactive

Logical; whether to pause between pages and wait for user input (default: FALSE)

Value

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

See also

plot_cv_recovery.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 recovery
plot_cv_recovery(
  abc_neuralnet_cv,
  n_rows = 2,
  n_cols = 1,
  resid_tol = 0.99
)