predict: Prediction Methods for Various Models

In stressor: Algorithms for Testing Models under Stress

Prediction Methods for Various Models

Description

Predict values on 'mlm_stressor', 'reg_asym', or 'reg_sine' objects. This expands the predict function.

Usage

## S3 method for class 'mlm_stressor'
predict(object, newdata, train_data = NULL, ...)

## S3 method for class 'reg_asym'
predict(object, newdata, ...)

## S3 method for class 'reg_sine'
predict(object, newdata, ...)

Arguments

object	A 'mlm_stressor', 'reg_asym', or 'reg_sine' object.
newdata	A data.frame object that is the data to be predicted on.
train_data	A data.frame object defaulted to 'NULL'. This is only used when an 'mlm_stressor' object needs to be refitted.
...	Extending the predict function default. In this case, it is ignored.

Value

A data.frame of predictions if 'mlm_stressor' object or vector of predicted values.

Examples

 # mlm_stressor example
 lm_test <- data_gen_lm(20)
 create_virtualenv()
 mlm_lm <- mlm_regressor(Y ~ ., lm_test)
 predict(mlm_lm, lm_test)

 # Asymptotic Examples
 asym_data <- data_gen_asym(10)
 asym_fit <- reg_asym(Y ~ ., asym_data)
 predict(asym_fit, asym_data)
 # Sinusoidal Examples
 sine_data <- data_gen_sine(10)
 sine_fit <- reg_sine(Y ~ ., sine_data)
 predict(sine_fit, sine_data)

stressor documentation built on May 29, 2024, 3:09 a.m.