residuals.JointAI: Extract residuals from an object of class JointAI

In JointAI: Joint Analysis and Imputation of Incomplete Data

Extract residuals from an object of class JointAI

Description

Extract residuals from an object of class JointAI

Usage

## S3 method for class 'JointAI'
residuals(object, type = c("working", "pearson",
  "response"), warn = TRUE, ...)

Arguments

object	object inheriting from class 'JointAI'
type	type of residuals: "deviance", "response", "working"
warn	logical; should warnings be given? Default is TRUE.
...	currently not used

Note

• For mixed models residuals are currently calculated using the fixed effects only.

• For ordinal (mixed) models and parametric survival models only type = "response" is available.

• For Cox proportional hazards models residuals are not yet implemented.

Examples

mod <- glm_imp(B1 ~ C1 + C2 + O1, data = wideDF, n.iter = 100,
               family = binomial(), mess = FALSE)
summary(residuals(mod, type = 'response')[[1]])
summary(residuals(mod, type = 'working')[[1]])

JointAI documentation built on April 27, 2023, 5:15 p.m.