check_inputs: Check Inputs

In optedr: Calculating Optimal and D-Augmented Designs for Single- and Multi-Factor Models

Check Inputs

Description

Function to check that the inputs given to the function opt_des are correct. If not, throws the correspondent error message.

Usage

check_inputs(
  criterion,
  model,
  parameters,
  par_values,
  design_space,
  init_design,
  join_thresh,
  delete_thresh,
  delta,
  tol,
  tol2,
  par_int,
  matB,
  reg_int,
  weight_fun
)

Arguments

criterion	character variable with the chosen optimality criterion.
model	formula describing the model. For single-factor models use x as the design variable; for multi-factor models use x1, x2, etc.
parameters	character vector with the parameter names.
par_values	numeric vector with the nominal parameter values.
design_space	For single-factor models: numeric vector c(min, max). For multi-factor models: named list list(x1 = c(min, max), x2 = c(min, max), ...).
init_design	optional dataframe with the initial design. For single-factor models use columns Point and Weight; for multi-factor models use one column per design variable plus Weight.
join_thresh	optional numeric threshold for merging nearby design points.
delete_thresh	optional numeric minimum weight to keep a support point.
delta	optional numeric in (0, 1), damping parameter of the algorithm.
tol	optional numeric for convergence of the weight loop.
tol2	optional numeric for the outer stop condition.
par_int	optional numeric vector of parameter indices for Ds-optimality.
matB	optional k x k matrix for L-optimality.
reg_int	optional bounds for the I-optimality integration region. Single-factor: c(min, max). Multi-factor: named list matching design_space.
weight_fun	optional variance-structure weight function.

optedr documentation built on June 23, 2026, 5:07 p.m.