PLNfit_spherical | R Documentation |

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

`PLNmodels::PLNfit`

-> `PLNfit_spherical`

`nb_param`

number of parameters in the current PLN model

`vcov_model`

character: the model used for the residual covariance

`new()`

Initialize a `PLNfit`

model

PLNfit_spherical$new(responses, covariates, offsets, weights, formula, control)

`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.

`clone()`

The objects of this class are cloneable with this method.

PLNfit_spherical$clone(deep = FALSE)

`deep`

Whether to make a deep clone.

```
## Not run:
data(trichoptera)
trichoptera <- prepare_data(trichoptera$Abundance, trichoptera$Covariate)
myPLN <- PLN(Abundance ~ 1, data = trichoptera)
class(myPLN)
print(myPLN)
## End(Not run)
```

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