auditor (version 0.2.1)

scoreHalfNormal: Half-Normal Score

Description

Score is approximately: $\sum \mathrm{\#}[re{s}_i\le simre{s}_{i,j}]-n$ with the distinction that each element of sum is also scaled to take values from [0,1].

$re{s}_i$ is a residual for i-th observation, $simre{s}_{i,j}$ is the residual of j-th simulation for i-th observation, and $n$ is the number of simulations for each observation. Scores are calculated on the basis of simulated data, so they may differ between function calls.

Usage

scoreHalfNormal(object, ...)

Arguments

object

ModelAudit object or fitted model.

...

Extra arguments passed to hnp.

Examples

# NOT RUN {
library(car)
lm_model <- lm(prestige~education + women + income, data = Prestige)
lm_au <- audit(lm_model, data = Prestige, y = Prestige$prestige)
plotHalfNormal(lm_au)


# }