Package: mmcif 0.1.2
mmcif: Mixed Multivariate Cumulative Incidence Functions
Fits the mixed cumulative incidence functions model suggested by <doi:10.1093/biostatistics/kxx072> which decomposes within cluster dependence of risk and timing. The estimation method supports computation in parallel using a shared memory C++ implementation. A sandwich estimator of the covariance matrix is available. Natural cubic splines are used to provide a flexible model for the cumulative incidence functions.
Authors:
mmcif_0.1.2.tar.gz
mmcif_0.1.2.zip(r-4.5)mmcif_0.1.2.zip(r-4.4)mmcif_0.1.2.zip(r-4.3)
mmcif_0.1.2.tgz(r-4.4-x86_64)mmcif_0.1.2.tgz(r-4.4-arm64)mmcif_0.1.2.tgz(r-4.3-x86_64)mmcif_0.1.2.tgz(r-4.3-arm64)
mmcif_0.1.2.tar.gz(r-4.5-noble)mmcif_0.1.2.tar.gz(r-4.4-noble)
mmcif_0.1.2.tgz(r-4.4-emscripten)mmcif_0.1.2.tgz(r-4.3-emscripten)
mmcif.pdf |mmcif.html✨
mmcif/json (API)
NEWS
| # Install 'mmcif' in R: |
| install.packages('mmcif', repos = c('https://boennecd.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/boennecd/mmcif/issues
competing-riskcomposite-likelihoodmixed-modelssandwich-estimatorsurvival-analysis
Last updated 2 years agofrom:9b9e0d9999. Checks:OK: 7 NOTE: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 04 2024 |
| R-4.5-win-x86_64 | NOTE | Nov 04 2024 |
| R-4.5-linux-x86_64 | NOTE | Nov 04 2024 |
| R-4.4-win-x86_64 | OK | Nov 04 2024 |
| R-4.4-mac-x86_64 | OK | Nov 04 2024 |
| R-4.4-mac-aarch64 | OK | Nov 04 2024 |
| R-4.3-win-x86_64 | OK | Nov 04 2024 |
| R-4.3-mac-x86_64 | OK | Nov 04 2024 |
| R-4.3-mac-aarch64 | OK | Nov 04 2024 |
Exports:log_chollog_chol_invmmcif_datammcif_fitmmcif_logLikmmcif_logLik_gradmmcif_pd_bivariatemmcif_pd_condmmcif_pd_univariatemmcif_sandwichmmcif_start_values
Dependencies:alabamabriocallrclicrayondescdiffobjdigestevaluatefansifsgluejsonlitelatticelifecyclemagrittrMatrixnumDerivpillarpkgbuildpkgconfigpkgloadpraiseprocessxpspsqnR6RcppRcppArmadilloRcppEigenrematch2rlangrprojroottestthattibbleutf8vctrswaldowithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Computes the Log Cholesky Decomposition and the Inverse | log_chol log_chol_inv |
| Sets up an Object to Compute the Log Composite Likelihood | mmcif_data |
| Fits a Mixed Competing Risk Model | mmcif_fit |
| Evaluates the Log Composite Likelihood and its Gradient | mmcif_logLik mmcif_logLik_grad |
| Computes Marginal Measures Using Two Observations | mmcif_pd_bivariate mmcif_pd_cond |
| Computes Marginal Measures for One Observation | mmcif_pd_univariate |
| Computes the Sandwich Estimator | mmcif_sandwich |
| Finds Staring Values | mmcif_start_values |
