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Pulls coefficient estimates, standard errors, and confidence intervals from the selected best model.

Usage

extract_best_parameters(
  ensemble,
  best_model_name,
  fixed_a = NULL,
  model_constraints = NULL,
  level = 0.95
)

Arguments

ensemble

Output of fit_ensemble_nls().

best_model_name

Character. Name of the selected model.

fixed_a

Numeric or NULL. Fixed lower asymptote value (on the fitting scale).

model_constraints

Constraints list (for bound info).

level

Confidence level. Default 0.95.

Value

Data frame with columns: term, estimate, std_error, ci_lower, ci_upper, lower_bound, upper_bound.