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 delay phase where the hazard is zero. The delayed Weibull distribution serves as foundational data model. The specific method of 'MPSE' (maximum product of spacings estimation) is used for parameter estimation. Bootstrap confidence intervals for parameters and significance tests in a two group setting are provided.

Version: 1.2.1
Depends: R (≥ 2.10)
Imports: future (≥ 1.21), future.apply (≥ 1.6), glue (≥ 1.4), MASS, purrr (≥ 0.3), rlang (≥ 0.4), stats, survival, tibble
Suggests: boot, future.callr, ggplot2 (≥ 3.3), knitr, testthat (≥ 3.0.0)
Published: 2023-08-21
DOI: 10.32614/CRAN.package.incubate
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 [issues need fixing before 2024-08-18]


Reference manual: incubate.pdf


Package source: incubate_1.2.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): incubate_1.2.1.tgz, r-oldrel (arm64): incubate_1.2.1.tgz, r-release (x86_64): incubate_1.2.1.tgz, r-oldrel (x86_64): incubate_1.2.1.tgz
Old sources: incubate archive


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