set_initial_estimates function

set_initial_estimates

Update initial parameter estimate for a model

Updates initial estimates of population parameters for a model. If the new initial estimates are out of bounds or NaN this function will raise.

set_initial_estimates(
  model,
  inits,
  move_est_close_to_bounds = FALSE,
  strict = TRUE
)

Arguments

• model: (Model) Pharmpy model to update initial estimates
• inits: (list(str=numeric)) Initial parameter estimates to update
• move_est_close_to_bounds: (logical) Move estimates that are close to bounds. If correlation >0.99 the correlation will be set to 0.9, if variance is <0.001 the variance will be set to 0.01.
• strict: (logical) Whether all parameters in input need to exist in the model. Default is TRUE

Returns

(Model) Pharmpy model object

Examples

## Not run:

model <- load_example_model("pheno")
results <- load_example_modelfit_results("pheno")
model$parameters$inits
model <- set_initial_estimates(model, results$parameter_estimates)
model$parameters$inits
model <- load_example_model("pheno")
model <- set_initial_estimates(model, list('POP_CL'=2.0))
model$parameters['POP_CL']
## End(Not run)

See Also

fix_parameters_to : Fixing and setting parameter initial estimates in the same function

unfix_paramaters_to : Unfixing parameters and setting a new initial estimate in the same