Print method for movedesign_optimized objects

Print a structured summary of a movedesign_optimized object produced by md_optimize(). This includes study design details, replication settings, estimation performance per target metric, and an optional convergence assessment.

Usage

# S3 method for class 'movedesign_optimized'
print(
  x,
  verbose = TRUE,
  m = NULL,
  ci = 0.95,
  tol = 0.05,
  n_converge = 9,
  plot = TRUE,
  pal = c("#007d80", "#A12C3B"),
  ...
)

Arguments

x

An object of class movedesign_optimized.

verbose

Logical. If TRUE, run md_check() and print full convergence diagnostics. Also displays a convergence plot if plot = TRUE. Defaults to FALSE.

m

Numeric (optional). Restricts results to a specific population sample size. Defaults to NULL, which uses the maximum sample size.

ci

Numeric. Confidence level for intervals (applied to narrow confidence bars and wide prediction bands). Must be between 0 and 1. Default is 0.95.

tol

Numeric. Tolerance threshold for absolute change in cumulative mean to declare convergence. Default is 0.05.

n_converge

Integer. Number of consecutive steps within tolerance required to confirm convergence. Default is 9.

plot

Logical. If TRUE, generates a convergence plot. Default is TRUE.

pal

Character vector of colors for the convergence plot, e.g. c("#007d80", "#A12C3B"). Default is c("#007d80", "#A12C3B").

...

Additional arguments (currently unused).