dot-get_pred: Create Predicted Values + Upper and Lower Bounds for...
In christithomp/scamplot: Predictive Plots for Shape-Constrained Additive Models

Description Usage Arguments Value Examples

Create Predicted Values + Upper and Lower Bounds for Confidence Interval

1	.get_pred(fit, new_data)

`fit`	- model used for making predictions
`new_data`	- dataframe or matrix used for prediction

- list of predictions and lower and upper bounds of confidence interval

#Load data
data(mtcars)

#Create simple regression model
fit = stats::lm(mpg ~ wt, data = mtcars)

#Create new set of data for prediction
new_wt = seq(min(mtcars$wt), max(mtcars$wt))
new_data = data.frame(wt = new_wt)

#Use get_pred to get predictions and confidence bounds
mpg_pred = .get_pred(fit, new_data)

#Show output for predicted y
mpg_pred$fHat

#Show output for upper and lower bounds
mpg_pred$ub
mpg_pred$lb