residualsAcat: This is a function to deal with the vglm object in S4.

In PAsso: Assessing the Partial Association Between Ordinal Variables

Description

This is a function to deal with the vglm object in S4.

Usage

residualsAcat(
  object,
  type = c("surrogate", "sign", "general", "deviance"),
  jitter = c("latent", "uniform"),
  jitter.uniform.scale = c("probability", "response"),
  nsim = 1L,
  ...
)

Arguments

object	An object of class vglm.
type	The type of residuals which should be returned. The alternatives are: "surrogate" (default), "sign", "general", and "deviance". Can be abbreviated. surrogate surrogate residuals (Liu and Zhang, 2017); sign sign-based residuals; general generalized residuals (Franses and Paap, 2001); deviance deviance residuals (-2*loglik).
jitter	A character string specifying which method to use to generate the surrogate response values. Current options are "latent" and "uniform". Default is "latent". latent latent approach; uniform jittering uniform approach.
jitter.uniform.scale	A character string specifying the scale on which to perform the jittering whenever jitter = "uniform". Current options are "response" and "probability". Default is "response".
nsim	An integer specifying the number of replicates to use. Default is 1L meaning one simulation only of residuals.
...	Additional optional arguments.

Value

A "resid" object with attributes. It contains a vector or a matrix (nsim>1) of residuals for the adjacent categories model.

PAsso documentation built on June 18, 2021, 5:09 p.m.