Other packages > Find by keyword >

PosteriorBootstrap  

Non-Parametric Sampling with Parallel Monte Carlo
View on CRAN: Click here


Download and install PosteriorBootstrap package within the R console
Install from CRAN:
install.packages("PosteriorBootstrap")

Install from Github:
library("remotes")
install_github("cran/PosteriorBootstrap")

Install by package version:
library("remotes")
install_version("PosteriorBootstrap", "0.1.2")



Attach the package and use:
library("PosteriorBootstrap")
Maintained by
James Robinson
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-10-09
Latest Update: 2023-03-12
Description:
An implementation of a non-parametric statistical model using a parallelised Monte Carlo sampling scheme. The method implemented in this package allows non-parametric inference to be regularized for small sample sizes, while also being more accurate than approximations such as variational Bayes. The concentration parameter is an effective sample size parameter, determining the faith we have in the model versus the data. When the concentration is low, the samples are close to the exact Bayesian logistic regression method; when the concentration is high, the samples are close to the simplified variational Bayes logistic regression. The method is described in full in the paper Lyddon, Walker, and Holmes (2018), "Nonparametric learning from Bayesian models with randomized objective functions" .
How to cite:
James Robinson (2019). PosteriorBootstrap: Non-Parametric Sampling with Parallel Monte Carlo. R package version 0.1.2, https://cran.r-project.org/web/packages/PosteriorBootstrap. Accessed 18 Sep. 2026.
Previous versions and publish date:
(2026-09-07 19:00), 0.1.0 (2019-10-09 13:00), 0.1.1 (2021-05-14 15:02), 0.1.2 (2023-03-12 19:10)
Other packages that cited PosteriorBootstrap R package
View PosteriorBootstrap citation profile
Other R packages that PosteriorBootstrap depends, imports, suggests or enhances
Complete documentation for PosteriorBootstrap
Functions, R codes and Examples using the PosteriorBootstrap R package
Some associated functions: PosteriorBootstrap . draw_logit_samples . draw_stick_breaks . get_file . get_german_credit_dataset . get_german_credit_file . get_stan_file . 
Some associated R codes: PosteriorBootstrap.R . data_loader.R . german_credit_loader.R .  Full PosteriorBootstrap package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

hmeasure  
The H-Measure and Other Scalar Classification Performance Metrics
Classification performance metrics that are derived from the ROC curve of a classifier. The package ...
Download / Learn more Package Citations See dependency  
eyelinker  
Import ASC Files from EyeLink Eye Trackers
Imports plain-text ASC data files from EyeLink eye trackers into (relatively) tidy data frames for ...
Download / Learn more Package Citations See dependency  
data360r  
Wrapper for 'TCdata360' and 'Govdata360' API
Makes it easy to engage with the Application Program Interface (API) of the 'TCdata360' and 'Govdat ...
Download / Learn more Package Citations See dependency  
injectoR  
R Dependency Injection
R dependency injection framework. Dependency injection allows a program design to follow the depend ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  
downlit  
Syntax Highlighting and Automatic Linking
Syntax highlighting of R code, specifically designed for the needs of 'RMarkdown' packages like 'pk ...
Download / Learn more Package Citations See dependency  

28,565

R Packages

239,283

Dependencies

75,677

Author Associations

28,566

Publication Badges

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