Other packages > Find by keyword >

bootComb  

Combine Parameter Estimates via Parametric Bootstrap
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
[Scholar Profile | Author Map]
All associated links for this package
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 08 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:23), 0.2.0 (2020-08-20 10:50), 1.0.0 (2020-09-07 17:50), 1.0.1 (2020-11-18 21:00), 1.0.2 (2021-07-13 00:00), 1.1.1 (2022-01-04 16:30)
Other packages that cited bootComb R package
View bootComb citation profile
Other R packages that bootComb depends, imports, suggests or enhances
Complete documentation for bootComb
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
metafor  
Meta-Analysis Package for R
A comprehensive collection of functions for conducting meta-analyses in R. The package includes func ...
Download / Learn more Package Citations See dependency  
colorfindr  
Extract Colors from Windows BMP, JPEG, PNG, TIFF, and SVG Format Images
Extracts colors from various image types, returns customized reports and plots treemaps and 3D scat ...
Download / Learn more Package Citations See dependency  
climwin  
Climate Window Analysis
Contains functions to detect and visualise periods of climate sensitivity (climate windows) for a g ...
Download / Learn more Package Citations See dependency  
abc.data  
Data Only: Tools for Approximate Bayesian Computation (ABC)
Contains data which are used by functions of the 'abc' package. ...
Download / Learn more Package Citations See dependency  
dineR  
Differential Network Estimation in R
An efficient and convenient set of functions to perform differential network estimation through the ...
Download / Learn more Package Citations See dependency  

28,905

R Packages

247,686

Dependencies

76,495

Author Associations

28,906

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA