Package: multiRec 1.0.6
multiRec: Analysis of Multi-Type Recurrent Events
Implements likelihood-based estimation and diagnostics for multi-type recurrent event data with dynamic risk that depends on prior events and accommodates terminating events. Methods are described in Ghosh, Chan, Younes and Davis (2023) "A Dynamic Risk Model for Multitype Recurrent Events" <doi:10.1093/aje/kwac213>.
Authors:
multiRec_1.0.6.tar.gz
multiRec_1.0.6.zip(r-4.7-any)multiRec_1.0.6.zip(r-4.6-any)multiRec_1.0.6.zip(r-4.5-any)
multiRec_1.0.6.tgz(r-4.6-any)multiRec_1.0.6.tgz(r-4.5-any)
multiRec_1.0.6.tar.gz(r-4.7-any)multiRec_1.0.6.tar.gz(r-4.6-any)
multiRec_1.0.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
multiRec/json (API)
| # Install 'multiRec' in R: |
| install.packages('multiRec', repos = c('https://alokanandaghosh.r-universe.dev', 'https://cloud.r-project.org')) |
- multiRecCVD2 - Simulated dataset with two types of multi-type recurrent events
- multiRecCVD4 - Simulated dataset with four types of multi-type recurrent events
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:b370532e57. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 125 | ||
| source / vignettes | OK | 295 | ||
| linux-release | OK | 156 | ||
| macos-release | OK | 193 | ||
| macos-oldrel | OK | 205 | ||
| windows-devel | OK | 90 | ||
| windows-release | OK | 141 | ||
| windows-oldrel | OK | 95 | ||
| wasm-release | OK | 137 |
Exports:multiRecplotProfiles
Dependencies:latticeMASSMatrixnumDerivRcppRcppArmadilloRcppParallelRfastsurvivalzigg
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Akaike's Information Criterion | AIC.multiRec |
| Bayesian Information Criteron | BIC.multiRec |
| Confidence Intervals for Model Parameters | confint.multiRec |
| Deviance of a fitted model | deviance.multiRec |
| Log likelihood of a fitted model | logLik.multiRec |
| Fit the multi-type recurrent event model | multiRec |
| Simulated dataset with two types of multi-type recurrent events | multiRecCVD2 |
| Simulated dataset with four types of multi-type recurrent events | multiRecCVD4 |
| Plot profile likelihoods | plotProfiles |
| Print a short summary of the model fit | print.multiRec |
| Residuals from a fitted model | resid.multiRec |
| Variance covariance matrix of a fitted model | vcov.multiRec |
