R: Competing Risks Models for Multi-Center Survival Data with Frailty

# Competing Risks Models for Multi-Center Survival Data with Frailty

## Documentation for package ‘FrailtyCompRisk’ version 0.1.1

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

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