Weibull Frailty Combined-Likelihood Inference for KK Designs

Log-normal (Gaussian random-intercept) frailty Weibull AFT estimator; see InferenceSurvivalGLMMWeibullFrailtyNormalOneLik for the frailty-distribution details and contrast with the gamma-frailty InferenceSurvivalGLMMWeibullFrailtyLoggammaOneLik (Clayton copula) alternative.

Super class

Inference -> InferenceSurvivalGLMMWeibullFrailtyNormalOneLik

Methods

Public methods

• InferenceSurvivalGLMMWeibullFrailtyNormalOneLik$set_custom_randomization_statistic_function()

• InferenceSurvivalGLMMWeibullFrailtyNormalOneLik$set_custom_randomization_statistic_cpp()

• InferenceSurvivalGLMMWeibullFrailtyNormalOneLik$approximate_randomization_distribution_beta_hat_T()

• InferenceSurvivalGLMMWeibullFrailtyNormalOneLik$supports_rand_pval_for_incidence()

• InferenceSurvivalGLMMWeibullFrailtyNormalOneLik$compute_rand_two_sided_pval()

• InferenceSurvivalGLMMWeibullFrailtyNormalOneLik$clone()

+ inherited public methods from Inference

• Inference$capabilities()
• Inference$compute_asymp_confidence_interval()
• Inference$compute_asymp_two_sided_pval()
• Inference$compute_estimate()
• Inference$compute_exact_confidence_interval()
• Inference$compute_exact_two_sided_pval_for_treatment_effect()
• Inference$duplicate()
• Inference$get_analysis_data()
• Inference$get_covariates()
• Inference$get_design_object()
• Inference$get_model_formula()
• Inference$get_nonestimable_reason()
• Inference$get_nonestimable_stage()
• Inference$get_optimization_alg()
• Inference$get_response()
• Inference$get_response_type()
• Inference$get_treatment()
• Inference$initialize()
• Inference$is_nonestimable()
• Inference$set_optimization_alg()
• Inference$set_seed()
• Inference$supports()

---

InferenceSurvivalGLMMWeibullFrailtyNormalOneLik$set_custom_randomization_statistic_function()

Usage

InferenceSurvivalGLMMWeibullFrailtyNormalOneLik$set_custom_randomization_statistic_function(
  custom_randomization_statistic_function
)

---

InferenceSurvivalGLMMWeibullFrailtyNormalOneLik$set_custom_randomization_statistic_cpp()

Usage

InferenceSurvivalGLMMWeibullFrailtyNormalOneLik$set_custom_randomization_statistic_cpp(
  fn
)

---

InferenceSurvivalGLMMWeibullFrailtyNormalOneLik$approximate_randomization_distribution_beta_hat_T()

Usage

InferenceSurvivalGLMMWeibullFrailtyNormalOneLik$approximate_randomization_distribution_beta_hat_T(
  r = 501,
  delta = 0,
  transform_responses = "none",
  show_progress = TRUE,
  permutations = NULL,
  debug = FALSE,
  zero_one_logit_clamp = .Machine$double.eps
)

---

InferenceSurvivalGLMMWeibullFrailtyNormalOneLik$supports_rand_pval_for_incidence()

Usage

InferenceSurvivalGLMMWeibullFrailtyNormalOneLik$supports_rand_pval_for_incidence(

)

---

InferenceSurvivalGLMMWeibullFrailtyNormalOneLik$compute_rand_two_sided_pval()

Usage

InferenceSurvivalGLMMWeibullFrailtyNormalOneLik$compute_rand_two_sided_pval(
  r = 501,
  delta = 0,
  transform_responses = "none",
  na.rm = TRUE,
  show_progress = TRUE,
  permutations = NULL,
  zero_one_logit_clamp = .Machine$double.eps
)

---

InferenceSurvivalGLMMWeibullFrailtyNormalOneLik$clone()

The objects of this class are cloneable with this method.

Usage

InferenceSurvivalGLMMWeibullFrailtyNormalOneLik$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.