choose_best_model: Picks the best model from multiple initial conditions for the...
In joshwlambert/relaxedDAISIE: Reproduce Relaxed-rate DAISIE Paper
View source: R/choose_best_model.R
choose_best_model R Documentation
Picks the best model from multiple initial conditions for the optimisation
to ensure the result is not from a local likelihood optima and is from the
global likelihood optima
Description
Picks the best model from multiple initial conditions for the optimisation
to ensure the result is not from a local likelihood optima and is from the
global likelihood optima
Usage
choose_best_model(data_name, model)
Arguments
data_name
Character string with the name of the island data set
model
Character string with the name of the model fit to the data
Value
Data frame
Examples
choose_best_model(data_name = "Canaries", model = "cr_dd")
joshwlambert/relaxedDAISIE documentation built on Nov. 23, 2023, 12:29 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
View source: R/choose_best_model.R
| choose_best_model | R Documentation |
Picks the best model from multiple initial conditions for the optimisation to ensure the result is not from a local likelihood optima and is from the global likelihood optima
Description
Picks the best model from multiple initial conditions for the optimisation to ensure the result is not from a local likelihood optima and is from the global likelihood optima
Usage
choose_best_model(data_name, model)
Arguments
data_name |
Character string with the name of the island data set |
model |
Character string with the name of the model fit to the data |
Value
Data frame
Examples
choose_best_model(data_name = "Canaries", model = "cr_dd")
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.