An R6 Class to represent a ZIPLNfit in a standard, general framework, with diagonal residual covariance

An R6 Class to represent a ZIPLNfit in a standard, general framework, with diagonal residual covariance

Super class

ZIPLNfit -> ZIPLNfit_diagonal

Active bindings

nb_param_pln

number of parameters in the PLN part of the current model

vcov_model

character: the model used for the residual covariance

Methods

Public methods

• ZIPLNfit_diagonal$new()

• ZIPLNfit_diagonal$clone()

Inherited methods

• ZIPLNfit$optimize()
• ZIPLNfit$optimize_vestep()
• ZIPLNfit$predict()
• ZIPLNfit$print()
• ZIPLNfit$show()
• ZIPLNfit$update()

---

ZIPLNfit_diagonal$new()

Initialize a ZIPLNfit_diagonal model

Usage

ZIPLNfit_diagonal$new(data, control)

Arguments

data

a named list used internally to carry the data matrices

control

a list for controlling the optimization. See details.

---

ZIPLNfit_diagonal$clone()

The objects of this class are cloneable with this method.

Usage

ZIPLNfit_diagonal$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

Examples

if (FALSE) { # \dontrun{
# See other examples in function ZIPLN
data(trichoptera)
trichoptera <- prepare_data(trichoptera$Abundance, trichoptera$Covariate)
myPLN <- ZIPLN(Abundance ~ 1, data = trichoptera, control = ZIPLN_param(covariance = "diagonal"))
class(myPLN)
print(myPLN)
} # }