diag.BP: Diagnostic Analysis - Local Influence

In BPmodel: Beta-Prime Regression Model

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.

Author(s)

Manoel Santos-Neto manoel.ferreira at professor.ufcg.edu.br

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. doi: 10.1007/s40300-021-00203-y

BPmodel documentation built on Sept. 23, 2021, 9:07 a.m.