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

Super class

PLNfit -> PLNfit_spherical

Active bindings

nb_param: number of parameters in the current PLN model
vcov_model: character: the model used for the residual covariance

Methods

Public methods

PLNfit_spherical$new()
PLNfit_spherical$clone()

Inherited methods

`PLNfit_spherical$new()`

Initialize a PLNfit model

Usage

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

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.

`PLNfit_spherical$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)
} # }