Parameter Correlation Heatmap — plot_parameter

Visualize correlations between posterior parameter estimates as a heatmap. Useful for identifying highly correlated parameters that may indicate identifiability issues.

Usage

plot_parameter_correlation(
  object,
  pars = NULL,
  method = c("pearson", "spearman"),
  show_values = TRUE,
  text_size = 3
)

Arguments

object: An mlumr_fit object
pars: Character vector. Parameters to include. Default includes intercepts and regression coefficients.
method: Correlation method: "pearson" (default) or "spearman".
show_values: Logical. Display correlation values on heatmap? Default TRUE.
text_size: Numeric. Size of correlation text. Default 3.

Value

A ggplot object

Examples

if (FALSE) { # \dontrun{
# Default parameters
plot_parameter_correlation(fit)

# Custom parameters
plot_parameter_correlation(fit, pars = c("mu_index", "mu_comparator", "beta[1]"))

# Without values
plot_parameter_correlation(fit, show_values = FALSE)
} # }