envel_berg: Envelope Graph of the BerG Regression Model

In rdmatheus/bergrm: BerG Regression Model for Count Data

Description

Provides the normal envelope simulated probability plot of Pearson's residuals, and of the randomized quantile residuals resulting from the BerG regression model fit.

Usage

envel_berg(
  object,
  residual = c("all", "quantile", "pearson"),
  R = 99,
  control = berg_control(...),
  ...
)

Arguments

object	object of class 'bergrm'.
residual	character; specifies which residual should be produced in the normal probability plot. The available arguments are "all" (default) for both randomized quantile and Pearson residuals; "quantile" for randomized quantile residuals; and "pearson" for Pearson residuals.
R	number of replicates.
control	a list of control arguments specified via berg_control.
...	arguments passed to berg_control.

Value

Returns the normal envelope simulated probability plot of Pearson residuals and random quantile residuals, respectively.

Author(s)

Rodrigo M. R. Medeiros <[e-mail]>

References

Bourguignon, M. and Medeiros, R. (2019). A flexibe, simple and useful regression model for fitting count data. Kleiber, C., & Zeileis, A. (2016). Visualizing count data regressions using rootograms. The American Statistician, 70, 296-303

rdmatheus/bergrm documentation built on Oct. 1, 2020, 4:38 a.m.