Recurrent Event Target Data — RecurrentEventTargetData • BExTE

This class represents target data for recurrent event analysis. It inherits from the TargetData class.

Super class

TargetData

Public fields

control_rate: Rate in the control arm of the target study
treatment_rate: Rate in the treatment arm of the target study
k_treatment: Negative-binomial size parameter in the treatment arm
k_control: Negative-binomial size parameter in the control arm

Methods

Inherited methods

TargetData$plot_sample()

`NA$new()`

Initialize the RecurrentEventTargetData object

Usage

NA$new(
  source_data,
  sampling_approximation,
  target_sample_size_per_arm,
  control_drift = 0,
  treatment_drift,
  summary_measure_likelihood,
  k_treatment = 0.8,
  k_control = 0.8
)

Arguments

source_data: The source data used for generating the target data.
sampling_approximation: A flag indicating whether to use sampling approximation.
target_sample_size_per_arm: The target sample size per arm.
control_drift: The control drift.
treatment_drift: The treatment drift.
summary_measure_likelihood: The summary measure distribution.
k_treatment: Size parameter for the negative binomial distribution in the treatment arm.
k_control: Size parameter for the negative binomial distribution in the control arm. Generate target data

`NA$generate()`

This function generates target data based on the specified parameters.

Usage

NA$generate(n_replicates)

Arguments

n_replicates: The number of replicates to generate.

Returns

A data frame containing the generated target data.

`NA$to_dict()`

Converts the target data object to a dictionary.

Usage

NA$to_dict()

Returns

A list representing the target data object.

`unknown$clone()`

The objects of this class are cloneable with this method.

Usage

unknown$clone(deep = FALSE)

Arguments

deep: Whether to make a deep clone.