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bootComb
View on CRAN: Click
here
Download and install bootComb package within the R console
Install from CRAN:
install.packages("bootComb")
Install from Github:
library("remotes")
install_github("cran/bootComb") Install by package version:
library("remotes")
install_version("bootComb", "1.1.2") Attach the package and use:
library("bootComb")
Maintained by
Marc Henrion
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First Published: 2020-08-20
Latest Update: 2022-01-30
Description:
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) for an example of combining conditional prevalences.
How to cite:
Marc Henrion (2020). bootComb: Combine Parameter Estimates via Parametric Bootstrap. R package version 1.1.2, https://cran.r-project.org/web/packages/bootComb. Accessed 27 Jun. 2026.
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Complete documentation for bootComb
Functions, R codes and Examples using
the bootComb R package
Some associated functions: adjPrevSensSpec . adjPrevSensSpecCI . bootComb . getBetaFromCI . getExpFromCI . getGammaFromCI . getNegBinFromCI . getNormFromCI . getPoisFromCI . identifyBetaPars . identifyExpPars . identifyGammaPars . identifyNegBinPars . identifyNormPars . identifyPoisPars . simScenPrevSensSpec . simScenProductTwoPrevs . ssBetaPars . ssExpPars . ssGammaPars . ssNegBinPars . ssNormPars . ssPoisPars .
Some associated R codes: adjustPrevalence.R . bootComb.R . fitDistributionsToCIs.R . internalFunctions.R . simulations.R . Full bootComb package functions and examples
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