An R6 Class to represent a PLNfit in a standard, general framework, with spherical residual covariance

An R6 Class to represent a PLNfit in a standard, general framework, with spherical residual covariance

## Active bindings

`nb_param`

number of parameters in the current PLN model

`vcov_model`

character: the model used for the residual covariance

## Methods

## Inherited methods

### Method `new()`

Initialize a `PLNfit`

model

#### Arguments

`responses`

the matrix of responses (called Y in the model). Will usually be extracted from the corresponding field in PLNfamily-class

`covariates`

design matrix (called X in the model). Will usually be extracted from the corresponding field in PLNfamily-class

`offsets`

offset matrix (called O in the model). Will usually be extracted from the corresponding field in PLNfamily-class

`weights`

an optional vector of observation weights to be used in the fitting process.

`formula`

model formula used for fitting, extracted from the formula in the upper-level call

`control`

a list for controlling the optimization. See details.

### Method `clone()`

The objects of this class are cloneable with this method.

#### Usage

`PLNfit_spherical$clone(deep = FALSE)`

#### Arguments

`deep`

Whether to make a deep clone.

## Examples

```
if (FALSE) { # \dontrun{
data(trichoptera)
trichoptera <- prepare_data(trichoptera$Abundance, trichoptera$Covariate)
myPLN <- PLN(Abundance ~ 1, data = trichoptera)
class(myPLN)
print(myPLN)
} # }
```