frailty_Sd_internal: Internal Function for Frailty Standard Deviation for the...

In TimeDepFrail: Time Dependent Shared Frailty Cox Model

Internal Function for Frailty Standard Deviation for the 'Adapted Paik et Al.'s Model'

Description

The function computes both the standard deviation and the variance of the time-dependent frailty of the 'Adapted Paik et al.'s Model'.

Usage

frailty_Sd_internal(
  optimal_params,
  time_axis,
  n_regressors,
  categories_range_min,
  categories_range_max,
  flag_full
)

Arguments

optimal_params	Optimal parameter vector, estimated through multi-dimensional optimization of the log-likelihood function.
time_axis	Partition of the temporal domain.
n_regressors	Number of regressors of the dataset. This value must be provided to be able to correctly compute the number of parameters of the model and, therefore, to check the dimension of the parameter vector.
categories_range_min	Vector of minimum value (range) assumed by the parameters category.
categories_range_max	Vector of maximum value (range) assumed by the parameters category.
flag_full	Do we want to compute the full frailty standard deviation (second case)? If so, the flag must be TRUE, otherwise (first case), FALSE.

Value

S3 class object 'FrailtyDispersion' containing both two numerical vectors of length equal to the number of intervals of the time-domain:

• FrailtyVariance

• FrailtyStandardDeviation

TimeDepFrail documentation built on April 11, 2025, 5:41 p.m.