View source: R/efficiency-criteria.R
| calculate_efficiency | R Documentation | 
The function is called inside evaluate_design_candidate
calculate_efficiency(
  prior_values,
  design_env,
  model,
  dudx,
  return_all = FALSE,
  significance = 1.96
)
| prior_values | a list or vector of assumed priors | 
| design_env | A design environment in which to evaluate the the function to derive the variance-covariance matrix. | 
| model | A character string indicating the model to optimize the design for. Currently the only model programmed is the 'mnl' model and this is also set as the default. | 
| dudx | A character string giving the name of the prior in the denominator. Must be specified when optimizing for 'c-error' | 
| return_all | If 'TRUE' return a K or K-1 vector with parameter specific error measures. Default is 'FALSE'. | 
| significance | A t-value corresponding to the desired level of significance. The default is significance at the 5 t-value of 1.96. | 
A list with a named vector of efficiency criteria and the variance-covariance matrix
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