BPmodel (version 1.1.2)

diag.BP: Diagnostic Analysis - Local Influence

Description

Diagnostics for the BP, GA, IG and WEI regression models

Usage

diag.BP(model, mu.link = "log", sigma.link = "log", scheme = "case.weight")
diag.GA(
  model,
  mu.link = "log",
  sigma.link = "identity",
  scheme = "case.weight"
)
diag.IG(
  model,
  mu.link = "log",
  sigma.link = "identity",
  scheme = "case.weight"
)
diag.WEI(
  model,
  mu.link = "log",
  sigma.link = "identity",
  scheme = "case.weight"
)
res_pearson(model)

Arguments

model

Object of class gamlss holding the fitted model.

mu.link

Defines the mu.link, with "identity" link as the default for the mu parameter.

sigma.link

Defines the sigma.link, with "identity" link as the default for the sigma parameter.

scheme

Default is "case.weight". But, can be "response".

Value

Local influence measures.

References

Bourguignon, M., Santos-Neto, M. and Castro, M. A new regression model for positive random variables with skewed and long tail. METRON, v. 79, p. 33--55, 2021. http://dx.doi.org/10.1007/s40300-021-00203-y