envelope: Envelopes

In santosneto/RBS: Regression models for Birnbaum-Saunders distributions

Description

A normal plot with simulated envelope of the residual is produced.

Usage

envelope(
  model,
  k = 100,
  res = "deviance",
  precision = "fixed",
  dist = RBS(mu.link = "identity", sigma.link = "identity"),
  color = "grey50",
  xlabel = "Theorical Quantile",
  ylabel = "Empirical Quantile",
  font = "serif"
)

envelope.ZARBS(
  model,
  k = 100,
  precision = "fixed",
  color = "grey50",
  xlabel = "Theorical Quantile",
  ylabel = "Empirical Quantile",
  font = "serif"
)

envelope.ZAGA(
  model,
  k = 100,
  precision = "fixed",
  color = "grey50",
  xlabel = "Theorical Quantile",
  ylabel = "Empirical Quantile",
  font = "serif"
)

Arguments

model	object of class gamlss holding the fitted model.
k	number of replications for envelope construction. Default is 19.
res	type of residuals to be extracted. Default is deviance.
precision	If precision = "fixed" a model with precision fixed is used; else a model with precision variable is used.
dist	The function RBS() defines the RBS distribution.
color	the color of the envelope.
xlabel	a label for the x axis.
ylabel	a label for the y axis.
font	the font used in x and y axis.

Value

A simulated envelope of the class RBS, ZARBS and ZAGA.

Author(s)

Manoel Santos-Neto [e-mail], F.J.A. Cysneiros [e-mail], Victor Leiva [e-mail] and Michelli Barros [e-mail]

References

Atkinson, A. C. (1985) Plots, transformations and regression : an introduction to graphical methods of diagnostic regression analysis. Oxford Science Publications, Oxford.

Leiva, V., Santos-Neto, M., Cysneiros, F.J.A, Barros, M. (2014) Birnbaum-Saunders statistical modelling: a new approach. Statistical Modelling, v. 14, p. 21-48, 2014.

Santos-Neto, M., Cysneiros, F.J.A., Leiva, V., Barros, M. (2016) Reparameterized Birnbaum-Saunders regression models with varying precision. Electronic Journal of Statistics, 10, 2825–2855. doi: 10.1214/16-EJS1187.

santosneto/RBS documentation built on Feb. 5, 2021, 2:12 p.m.