Predict values for a filament model — filament1_predict • StatCompLab

Uses an estimated filament model to predict new observations

Usage

filament1_predict(object, newdata, alpha = 0.05, df = Inf, ...)

Arguments

object: The estimation object, like the output from filament1_estimate()
newdata: The data to use for prediction. Must have a column CAD_Weight
alpha: The target coverage error for the prediction intervals, Default: 0.05
df: The degrees of freedom for t-quantiles for the prediction interval construction, Default: Inf
...: Additional arguments, currently ignored

Value

A data.frame with variables mean, sd, lwr, and upr, summarising the prediction distribution for each row of newdata.

Examples

if (FALSE) { # \dontrun{
if(interactive()){
 #EXAMPLE1
 }
} # }