plot.Networkfamily: Display various outputs (goodness-of-fit criteria,...

In PLN-team/PLNmodels: Poisson Lognormal Models

Display various outputs (goodness-of-fit criteria, robustness, diagnostic) associated with a collection of network fits (either PLNnetworkfamily or ZIPLNnetworkfamily)

Description

Display various outputs (goodness-of-fit criteria, robustness, diagnostic) associated with a collection of network fits (either PLNnetworkfamily or ZIPLNnetworkfamily)

Usage

## S3 method for class 'Networkfamily'
plot(
  x,
  type = c("criteria", "stability", "diagnostic"),
  criteria = c("loglik", "pen_loglik", "BIC", "EBIC"),
  reverse = FALSE,
  log.x = TRUE,
  stability = 0.9,
  ...
)

## S3 method for class 'PLNnetworkfamily'
plot(
  x,
  type = c("criteria", "stability", "diagnostic"),
  criteria = c("loglik", "pen_loglik", "BIC", "EBIC"),
  reverse = FALSE,
  log.x = TRUE,
  stability = 0.9,
  ...
)

## S3 method for class 'ZIPLNnetworkfamily'
plot(
  x,
  type = c("criteria", "stability", "diagnostic"),
  criteria = c("loglik", "pen_loglik", "BIC", "EBIC"),
  reverse = FALSE,
  log.x = TRUE,
  stability = 0.9,
  ...
)

Arguments

x	an R6 object with class PLNnetworkfamily or ZIPLNnetworkfamily
type	a character, either "criteria", "stability" or "diagnostic" for the type of plot.
criteria	Vector of criteria to plot, to be selected among "loglik" (log-likelihood), "BIC", "ICL", "R_squared", "EBIC" and "pen_loglik" (penalized log-likelihood). Default is c("loglik", "pen_loglik", "BIC", "EBIC"). Only used when type = "criteria".
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.
log.x	logical: should the x-axis be represented in log-scale? Default is TRUE.
stability	scalar: the targeted level of stability in stability plot. Default is .9.
...	additional parameters for S3 compatibility. Not used

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.

Value

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

Functions

• plot(PLNnetworkfamily): Display various outputs associated with a collection of network fits

• plot(ZIPLNnetworkfamily): Display various outputs associated with a collection of network fits

Examples

data(trichoptera)
trichoptera <- prepare_data(trichoptera$Abundance, trichoptera$Covariate)
fits <- PLNnetwork(Abundance ~ 1, data = trichoptera)
## Not run: 
plot(fits)

## End(Not run)

PLN-team/PLNmodels documentation built on Oct. 13, 2024, 4:01 a.m.