super class for PLNPCAfamily and PLNnetworkfamily.

## Public fields

responses

the matrix of responses common to every models

covariates

the matrix of covariates common to every models

offsets

the matrix of offsets common to every models

weights

the vector of observation weights

inception

a PLNfit object, obtained when no sparsifying penalty is applied.

models

a list of PLNfit object, one per penalty.

## Active bindings

criteria

a data frame with the values of some criteria (approximated log-likelihood, BIC, ICL, etc.) for the collection of models / fits BIC and ICL are defined so that they are on the same scale as the model log-likelihood, i.e. with the form, loglik - 0.5 penalty

convergence

sends back a data frame with some convergence diagnostics associated with the optimization process (method, optimal value, etc)

## Methods

### Method new()

Create a new PLNfamily object.

#### Arguments

config

a list for controlling the post-treatment.

### Method getModel()

Extract a model from a collection of models

#### Arguments

criteria

A valid model selection criteria for the collection of models. Includes loglik, BIC (all), ICL (PLNPCA) and pen_loglik, EBIC (PLNnetwork)

reverse

A logical indicating whether to plot the value of the criteria in the "natural" direction (loglik - 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.

A ggplot2 object

### Method show()

User friendly print method

### Method clone()

The objects of this class are cloneable with this method.

#### Usage

PLNfamily\$clone(deep = FALSE)

#### Arguments

deep

Whether to make a deep clone.