PLNmodels (version 1.2.2)

ZIPLNfit_fixed: An R6 Class to represent a ZIPLNfit in a standard, general framework, with fixed (inverse) residual covariance

Description

An R6 Class to represent a ZIPLNfit in a standard, general framework, with fixed (inverse) residual covariance

An R6 Class to represent a ZIPLNfit in a standard, general framework, with fixed (inverse) residual covariance

Super class

PLNmodels::ZIPLNfit -> ZIPLNfit_fixed

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_fixed$new()

• ZIPLNfit_fixed$clone()

Inherited methods

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

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Method new()

Initialize a ZIPLNfit_fixed model

Usage

ZIPLNfit_fixed$new(data, control)

Arguments

data

a named list used internally to carry the data matrices

control

a list for controlling the optimization. See details.

---

Method clone()

The objects of this class are cloneable with this method.

Usage

ZIPLNfit_fixed$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

Examples

if (FALSE) {
# See other examples in function ZIPLN
data(trichoptera)
trichoptera <- prepare_data(trichoptera$Abundance, trichoptera$Covariate)
myPLN <- ZIPLN(Abundance ~ 1, data = trichoptera,
    control = ZIPLN_param(Omega = diag(ncol(trichoptera$Abundance))))
class(myPLN)
print(myPLN)
}