Competing Risks Models for Multi-Center Survival Data with Frailty


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Documentation for package ‘FrailtyCompRisk’ version 0.1.1

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check_data_format Check the Format of a Data Frame for Multicentre Competing Risks with Frailty
compute_M_optimized Compute the Weight Matrix M (Optimized)
create_G_function Create Step Function for Estimated Survival (G)
KaplanMeier_Censoring_vectorized Kaplan-Meier Estimator for Censoring Distribution (Vectorized)
logLikelihood_1 Log-Likelihood Contribution for Cause 1
logLikelihood_2 Compute Log-Likelihood Penalty for Random Effects
Ml_CompRisk Maximum Likelihood Estimation for Cause 1 in Competing Risks
Ml_Cox Maximum Likelihood Estimation for the Cox Model (Optimized)
Nelson_Censoring_vectorized Nelson-Aalen Estimator of Censoring Distribution (Vectorized)
Parameters_estimation Unified Interface for Parameter Estimation in (Competing Risks) Frailty Models
Reml_CompRisk_frailty REML Estimation for Cause 1 in a Competing Risks Model with Shared Frailty
Reml_Cox_frailty Cox Model with Random Frailty (REML Estimation)
simulate_data Simulate clustered competing risks data with shared frailty