View source: R/PLNnetworkfamily-S3methods.R
plot.PLNnetworkfamily | R Documentation |
PLNnetworkfamily
)Display various outputs (goodness-of-fit criteria, robustness, diagnostic) associated with a collection of PLNnetwork fits (a PLNnetworkfamily
)
## 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,
...
)
x |
an R6 object with class |
type |
a character, either "criteria", "stability" or "diagnostic" for the type of plot. |
criteria |
vector of characters. The criteria to plot in c("loglik", "BIC", "ICL", "R_squared", "EBIC", "pen_loglik").
Default is c("loglik", "pen_loglik", "BIC", "EBIC"). Only relevant when |
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 |
stability |
scalar: the targeted level of stability in stability plot. Default is .9. |
... |
additional parameters for S3 compatibility. Not used |
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
.
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).
data(trichoptera)
trichoptera <- prepare_data(trichoptera$Abundance, trichoptera$Covariate)
fits <- PLNnetwork(Abundance ~ 1, data = trichoptera)
## Not run:
plot(fits)
## End(Not run)
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