Package FrailtyCompRisk | Overview | The Model: | Method | Features | Examples | Computational Complexity | References
Package: FrailtyCompRisk 0.1.1
Lucas Ducrot
FrailtyCompRisk: Competing Risks Models for Multi-Center Survival Data with Frailty
Implements methods for analyzing competing risks data in multi-center survival studies using frailty models. The approach relies on a mixed proportional hazards model for the sub-distribution, allowing for cluster-specific random effects. The package provides tools for model estimation with or without frailty using Maximum Likelihood (ML) and Restricted Maximum Likelihood (REML). It supports flexible modeling of between-center heterogeneity and is particularly suited for multi-center clinical trials or registries. Core features include data simulation, likelihood computation, cluster-dependent censoring options, and testing of frailty effects. For methodological details, see Katsahian et al. (2006) <doi:10.1002/sim.2684>.
Authors:
FrailtyCompRisk_0.1.1.tar.gz
FrailtyCompRisk_0.1.1.zip(r-4.7-any)FrailtyCompRisk_0.1.1.zip(r-4.6-any)FrailtyCompRisk_0.1.1.zip(r-4.5-any)
FrailtyCompRisk_0.1.1.tgz(r-4.6-any)FrailtyCompRisk_0.1.1.tgz(r-4.5-any)
FrailtyCompRisk_0.1.1.tar.gz(r-4.7-any)FrailtyCompRisk_0.1.1.tar.gz(r-4.6-any)
FrailtyCompRisk_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
FrailtyCompRisk/json (API)
| # Install 'FrailtyCompRisk' in R: |
| install.packages('FrailtyCompRisk', repos = c('https://teamheka.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/teamheka/frailtycomprisk/issues
Last updated from:1ecb40de29. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 171 | ||
| source / vignettes | OK | 147 | ||
| linux-release | OK | 151 | ||
| macos-release | OK | 243 | ||
| macos-oldrel | OK | 191 | ||
| windows-devel | OK | 143 | ||
| windows-release | OK | 95 | ||
| windows-oldrel | OK | 130 | ||
| wasm-release | OK | 92 |
Exports:check_data_formatMl_CompRiskMl_CoxParameters_estimationReml_CompRisk_frailtyReml_Cox_frailtysimulate_data
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Check the Format of a Data Frame for Multicentre Competing Risks with Frailty | check_data_format |
| Compute the Weight Matrix M (Optimized) | compute_M_optimized |
| Create Step Function for Estimated Survival (G) | create_G_function |
| Kaplan-Meier Estimator for Censoring Distribution (Vectorized) | KaplanMeier_Censoring_vectorized |
| Log-Likelihood Contribution for Cause 1 | logLikelihood_1 |
| Compute Log-Likelihood Penalty for Random Effects | logLikelihood_2 |
| Maximum Likelihood Estimation for Cause 1 in Competing Risks | Ml_CompRisk |
| Maximum Likelihood Estimation for the Cox Model (Optimized) | Ml_Cox |
| Nelson-Aalen Estimator of Censoring Distribution (Vectorized) | Nelson_Censoring_vectorized |
| Unified Interface for Parameter Estimation in (Competing Risks) Frailty Models | Parameters_estimation |
| REML Estimation for Cause 1 in a Competing Risks Model with Shared Frailty | Reml_CompRisk_frailty |
| Cox Model with Random Frailty (REML Estimation) | Reml_Cox_frailty |
| Simulate clustered competing risks data with shared frailty | simulate_data |