plot: Plot diagnostics for boxcoxmix functions

In boxcoxmix: Box-Cox-Type Transformations for Linear and Logistic Models with Random Effects

Description

plot() is a generic function used to produce some useful diagnostic plotting of the functions: np.boxcoxmix(), optim.boxcox() and tolfind.boxcox().

Usage

## S3 method for class 'boxcoxmix'
plot(x, plot.opt = 1, ...)

Arguments

x	an object for which a plot is desired.
plot.opt	an integer value between 1 and 8.
...	additional arguments.

Details

Plot diagnostics for boxcoxmix functions

Value

The plots to be printed depend on the number given in plot.opt, for the np.boxcoxmix(), optim.boxcox() and tolfind.boxcox() functions:

1	the disparities with the iteration number against the mass points
2	the fitted value against the response of the original and the transformed Data.
3	probability plot of residuals of the original against the transformed data.
4	individual posterior probabilities.
5	control charts of residuals of the original against the transformed data.
6	The histograms of residuals of the original against the transformed data.
7	works only for the tolfind.boxcox() function and plots the specified range of tol against the disparities
8	works only for the optim.boxcox() function and gives the profile likelihood function that summarises information concerning lambda.
9	works only for the Kfind.boxcox() function and plots the specified range of K against the AIC or BIC information criteria
10	works only for the boxcoxtype() function and gives the profile likelihood function that summarises information concerning lambda for generalized linear Mixed-effects Models.

boxcoxmix documentation built on Sept. 17, 2020, 9:31 a.m.