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Model prediction

Source: R/model_prediction.R
model_prediction.Rd

Estimate redistributed fishing effort following policy change or change in other factors that influence fisher location choice.

Usage

model_prediction(
  project,
  mod.name,
  closures,
  enteredPrice = NULL,
  use.scalers = FALSE,
  scaler.func = NULL
)

Arguments

project

Name of project

mod.name

Model name. Argument can be the name of the model or the name can be pulled the modelChosen table. Leave mod.name empty to use the name of the saved "best" model. If more than one model is saved, mod.name should be the numeric indicator of which model to use. Use table_view("modelChosen", project) to view a table of saved models.

closures

closure scenarios

enteredPrice

NEED TO FIGURE OUT WHAT EXACTLY THIS IS

use.scalers

Input for create_model_input(). Logical, should data be normalized? Defaults to FALSE. Rescaling factors are the mean of the numeric vector unless specified with scaler.func.

scaler.func

Input for create_model_input(). Function to calculate rescaling factors.

Details

Calls logit_predict, epm_predict, and predict_probability. Closure scenarios and TAC must be define using zone_closure function before function can be run.