The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

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.

Version: 0.3.0.1
Depends: R (≥ 3.5.0)
Imports: dplyr, expint, methods, numDeriv, stats, tidyr
Suggests: testthat (≥ 3.0.0), knitr, rmarkdown, withr
Published: 2023-09-23
Author: Zachary McCaw ORCID iD [aut, cre]
Maintainer: Zachary McCaw <zmccaw at alumni.harvard.edu>
License: GPL-3
NeedsCompilation: no
CRAN checks: Temporal results

Documentation:

Reference manual: Temporal.pdf
Vignettes: Temporal

Downloads:

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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=Temporal to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.