Combine Parameter Estimates via Parametric Bootstrap
Overview
Propagate uncertainty from several estimates when combining these estimates via a function. This is done by using the parametric bootstrap to simulate values from the distribution of each estimate to build up an empirical distribution of the combined parameter. Finally either the percentile method is used or the highest density interval is chosen to derive a confidence interval for the combined parameter with the desired coverage. Gaussian copulas are used for when parameters are assumed to be dependent / correlated. References: Davison and Hinkley (1997,ISBN:0-521-57471-4) for the parametric bootstrap and percentile method, Gelman et al. (2014,ISBN:978-1-4398-4095-5) for the highest density interval, Stockdale et al. (2020)doi:10.1016/j.jhep.2020.04.008 for an example of combining conditional prevalences.
- Added the option to specify a dependence structure in
adjPrevSensSpecCI(i.e. argumentSigmaallowed and passed through tobootComb). - Added the option to specify a seed value for
adjPrevSensSpecCI. - Added the option for bootstrapped values to be returned for
adjPrevSensSpecCI. - Added a note to the documentation files for getPoisFromCI and getNegBinFromCI - these two functions are unlikely to be of much use within bootComb (where parameters are necessarily assumed to be continuous).
- Minor fix to one example.
From NEWS.md in the release
Install
Health
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Marc Henrion <mhenrion@mlw.mw>’ Package CITATION file contains call(s) to old-style personList() or as.personList(). Please use c() on person objects instead. Package CITATION file contains call(s) to old-style citEntry(). Please use bibentry() instead.
- NOTE11 OK, 2 NOTENow
- NOTE12 OK, 2 NOTE2026-03-10
Documentation
- Help pages
- 23
- Examples that run
- 82%9 run in a plain check · 2 only when donttest examples are enabled (R CMD check --as-cran)
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
Dependencies
Installing bootComb adds no packages beyond those that come with R.
Code & Tests
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- 1.1.2Latest
- 1.1.12022-01-04 · diff ↗
- 1.0.22021-07-13 · diff ↗
- RR 4.1.0 released · 2021-05-18
- 1.0.12020-11-18 · diff ↗
- 1.0.02020-09-07 · diff ↗ ·
removed 2 exports
simScen1, simScen2added 5 exports
getExpFromCI, getGammaFromCI, getNegBinFromCI, simScenPrevSensSpec, simScenProductTwoPrevs - 0.2.02020-08-20
- RR 4.0.0 released · 2020-04-24
Package metadata
- First published
- 2020-08-20
- Total releases
- 6 / 6 yrs
- License
- GPL-3 OSI
- Download size
- 22 KB
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("bootComb")The package provides a citation file that builds its entry when R runs it. Run citation() to see it.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.