residuals.RRglm: Accessing GLMMRR Fits for fixed-effect models

In GLMMRR: Generalized Linear Mixed Model (GLMM) for Binary Randomized Response Data

Description

Compute residuals for RRglm objects. Extends residuals.glm with residuals for grouped binary Randomized Response data.

Usage

## S3 method for class 'RRglm'
residuals(
  object,
  type = c("deviance", "pearson", "working", "response", "partial", "deviance.grouped",
    "pearson.grouped", "hosmer-lemeshow"),
  ngroups = 10,
  ...
)

Arguments

object	an object of class RRglm.
type	the type of residuals which should be returned. The alternatives are: "deviance" (default), "pearson", "working", "response", "partial", "deviance.grouped", "pearson.grouped" and "hosmer-lemeshow".
ngroups	the number of groups if Hosmer-Lemeshow residuals are computed (default: 10).
...	further arguments passed to or from other methods.

Value

A vector of residuals.

See Also

residuals.glm

GLMMRR documentation built on Jan. 16, 2021, 5:28 p.m.