Display the criteria associated with a collection of PLNmixture fits (a PLNmixturefamily)

# S3 method for PLNmixturefamily
plot(
x,
type = c("criteria", "diagnostic"),
criteria = c("loglik", "BIC", "ICL"),
reverse = FALSE,
...
)

## Arguments

x

an R6 object with class PLNmixturefamily

type

a character, either "criteria" or "diagnostic" for the type of plot.

criteria

vector of characters. The criteria to plot in c("loglik", "BIC", "ICL"). Default is c("loglik", "BIC", "ICL").

reverse

A logical indicating whether to plot the value of the criteria in the "natural" direction (loglik - 0.5 penalty) or in the "reverse" direction (-2 loglik + penalty). Default to FALSE, i.e use the natural direction, on the same scale as the log-likelihood.

...

additional parameters for S3 compatibility. Not used

## Value

Produces either a diagnostic plot (with type = 'diagnostic') or the evolution of the criteria of the different models considered (with type = 'criteria', the default).

## Details

The BIC and ICL criteria have the form 'loglik - 1/2 * penalty' so that they are on the same scale as the model log-likelihood. You can change this direction and use the alternate form '-2*loglik + penalty', as some authors do, by setting reverse = TRUE.

## Examples

data(trichoptera)
trichoptera <- prepare_data(trichoptera$Abundance, trichoptera$Covariate)
myMixtures <- PLNmixture(Abundance ~ 1 + offset(log(Offset)),
data = trichoptera, control = PLNmixture_param(smoothing = "none"))
#>
#>  Initialization...
#>
#>  Adjusting 5 PLN mixture models.
#> 	number of cluster = 1
number of cluster = 2
number of cluster = 3
number of cluster = 4
number of cluster = 5

#>  Post-treatments
#>  DONE!
plot(myMixtures, reverse = TRUE)