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 no events occur.
The delayed Weibull distribution serves as the foundational data model.
For parameter estimation, different flavours of maximum likelihood
estimation ('MLE') and the method of maximum product of spacings estimation
('MPSE') are implemented. Bootstrap confidence intervals for parameters and
significance tests in a two group setting are provided.
| Version: |
1.4.0 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
future (≥ 1.21), future.apply (≥ 1.6), glue (≥ 1.4), MASS, minqa, purrr (≥ 0.3), rlang (≥ 0.4), stats, survival, tibble |
| LinkingTo: |
cpp11 |
| Suggests: |
boot, dplyr, future.callr, ggplot2 (≥ 3.3), knitr, numDeriv, patchwork, rmarkdown, spelling, testthat (≥ 3.0.0), tidyr, withr |
| Published: |
2026-03-22 |
| DOI: |
10.32614/CRAN.package.incubate |
| Author: |
Matthias Kuhn 
[aut, cre, cph] |
| Maintainer: |
Matthias Kuhn <matthias.kuhn at tu-dresden.de> |
| BugReports: |
https://gitlab.com/imb-dev/incubate/-/issues/ |
| License: |
LGPL (≥ 3) |
| URL: |
https://gitlab.com/imb-dev/incubate/ |
| NeedsCompilation: |
yes |
| Language: |
en-GB |
| Materials: |
README, NEWS |
| CRAN checks: |
incubate results |
Documentation:
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