plot.mcglm: Residuals and algorithm check plots

In wbonat/mcglm: Multivariate Covariance Generalized Linear Models

Description

Residual and algorithm check analysis for objects of mcglm class.

Usage

## S3 method for class 'mcglm'
plot(x, type = "residuals", ...)

Arguments

x	a fitted mcglm object.
type	specify which graphical analysis will be performed. Options are: "residuals" and "algorithm".
...	additional arguments affecting the plot produced. Note that there is no extra options for mcglm object class.

Value

The function plot.mcglm was designed to offer a fast residuals analysis based on the Pearson residuals. Current version offers a simple Pearson residuals versus fitted values and a quantile plot. When using algorithm = TRUE the function will plot a summary of the fitting algorithm shows the trajectory or iterations of the fitting algorithm. The iterations are shown in terms of values of the model parameters and also the actually value of the quasi-score and Pearson estimating functions. Hence, a quickly check of the algorithm convergence is obtained.

Author(s)

Wagner Hugo Bonat, [e-mail]

See Also

residuals and fitted.

wbonat/mcglm documentation built on June 23, 2020, 11:06 a.m.