incubate: Parametric Time-to-Event Analysis with Variable Incubation Phases

Fit parametric models for time-to-event data that show an initial 'incubation period', i.e., a variable phase where the hazard is zero. The delayed Weibull distribution serves as the foundational data model. The specific method of MSE (maximum spacing estimation) is used for parameter estimation. Bootstrap confidence intervals for parameters and significance tests in a two group setting are provided.

Version: 1.1.8
Depends: R (≥ 2.10)
Imports: future (≥ 1.21), future.apply (≥ 1.6), ggplot2 (≥ 3.3), glue (≥ 1.4), MASS, purrr (≥ 0.3), rlang (≥ 0.4), scales (≥ 0.5), stats, survival, tibble
Suggests: boot, cowplot, future.callr, knitr, testthat (≥ 3.0.0)
Published: 2022-05-04
Author: Matthias Kuhn ORCID iD [aut, cre]
Maintainer: Matthias Kuhn <matthias.kuhn at>
License: LGPL (≥ 3)
NeedsCompilation: no
Materials: README NEWS
CRAN checks: incubate results


Reference manual: incubate.pdf


Package source: incubate_1.1.8.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): incubate_1.1.8.tgz, r-oldrel (arm64): incubate_1.1.8.tgz, r-release (x86_64): incubate_1.1.8.tgz, r-oldrel (x86_64): incubate_1.1.8.tgz
Old sources: incubate archive


Please use the canonical form to link to this page.