Package: Temporal 0.3.0.1
Temporal: Parametric Time to Event Analysis
Performs maximum likelihood based estimation and inference on time to event data, possibly subject to non-informative right censoring. FitParaSurv() provides maximum likelihood estimates of model parameters and distributional characteristics, including the mean, median, variance, and restricted mean. CompParaSurv() compares the mean, median, and restricted mean survival experiences of two treatment groups. Candidate distributions include the exponential, gamma, generalized gamma, log-normal, and Weibull.
Authors:
Temporal_0.3.0.1.tar.gz
Temporal_0.3.0.1.zip(r-4.5)Temporal_0.3.0.1.zip(r-4.4)Temporal_0.3.0.1.zip(r-4.3)
Temporal_0.3.0.1.tgz(r-4.4-any)Temporal_0.3.0.1.tgz(r-4.3-any)
Temporal_0.3.0.1.tar.gz(r-4.5-noble)Temporal_0.3.0.1.tar.gz(r-4.4-noble)
Temporal_0.3.0.1.tgz(r-4.4-emscripten)Temporal_0.3.0.1.tgz(r-4.3-emscripten)
Temporal.pdf |Temporal.html✨
Temporal/json (API)
# Install 'Temporal' in R: |
install.packages('Temporal', repos = c('https://zrmacc.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/zrmacc/temporal/issues
Last updated 1 years agofrom:ec8071082b. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 16 2024 |
R-4.5-win | OK | Nov 16 2024 |
R-4.5-linux | OK | Nov 16 2024 |
R-4.4-win | OK | Nov 16 2024 |
R-4.4-mac | OK | Nov 16 2024 |
R-4.3-win | OK | Nov 16 2024 |
R-4.3-mac | OK | Nov 16 2024 |
Exports:CompParaSurvFitParaSurvGenDataNewtonRaphsonParaRMSTSurvFuncSurvLogLik
Dependencies:clicpp11dplyrexpintfansigenericsgluelifecyclemagrittrnumDerivpillarpkgconfigpurrrR6rlangstringistringrtibbletidyrtidyselectutf8vctrswithr