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.

Depends: R (≥ 3.5.0)
Imports: dplyr, expint, methods, numDeriv, stats, tidyr
Suggests: testthat (≥ 3.0.0), knitr, rmarkdown, withr
Published: 2023-09-23
DOI: 10.32614/CRAN.package.Temporal
Author: Zachary McCaw ORCID iD [aut, cre]
Maintainer: Zachary McCaw <zmccaw at alumni.harvard.edu>
License: GPL-3
NeedsCompilation: no
CRAN checks: Temporal results


Reference manual: Temporal.pdf
Vignettes: Temporal


Package source: Temporal_0.3.0.1.tar.gz
Windows binaries: r-devel: Temporal_0.3.0.1.zip, r-release: Temporal_0.3.0.1.zip, r-oldrel: Temporal_0.3.0.1.zip
macOS binaries: r-release (arm64): Temporal_0.3.0.1.tgz, r-oldrel (arm64): Temporal_0.3.0.1.tgz, r-release (x86_64): Temporal_0.3.0.1.tgz, r-oldrel (x86_64): Temporal_0.3.0.1.tgz
Old sources: Temporal archive

Reverse dependencies:

Reverse imports: PracticalEquiDesign


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