CLVTools (version 0.5.0)

clv.fitted-class: Fitted CLV Model without covariates

Description

The class stores the transaction data and various optimization outputs and options. It is created already when model fitting is initiated and is then used to perform no covariate specific steps during the estimation process.

Created from an existing clv.data and clv.model object (or subclasses thereof).

Usage

# S4 method for clv.fitted
show(object)

Slots

call

Single language of the call used to create the object

clv.model

Single object of (sub-) class clv.model that determines model-specific behavior.

clv.data

Single object of (sub-) class clv.data that contains the data and temporal information to fit the model to.

prediction.params.model

Numeric vector of the model parameters, set and used solely when predicting. Named after model parameters in original scale and derived from coef().

estimation.used.correlation

Single boolean whether the correlation was estimated.

name.prefixed.cor.param.m

Single character vector of the internal name used for the correlation parameter during optimization.

name.correlation.cor

Single character vector of the external name used for the correlation parameter.

optimx.estimation.output

A single object of class optimx as returned from method optimx::optimx after optimizing the log-likelihood fitting the model.

optimx.hessian

Single matrix that is the hessian extracted from the last row of the optimization output stored in the slot optimx.estimation.output.

See Also

clv.fitted.static.cov, clv.fitted.dynamic.cov