Other packages > Find by keyword >

psborrow2  

Bayesian Dynamic Borrowing Analysis and Simulation
View on CRAN: Click here


Download and install psborrow2 package within the R console
Install from CRAN:
install.packages("psborrow2")

Install from Github:
library("remotes")
install_github("cran/psborrow2")

Install by package version:
library("remotes")
install_version("psborrow2", "0.0.3.3")



Attach the package and use:
library("psborrow2")
Maintained by
Matt Secrest
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-04-03
Latest Update: 2024-04-12
Description:
Bayesian dynamic borrowing is an approach to incorporating external data to supplement a randomized, controlled trial analysis in which external data are incorporated in a dynamic way (e.g., based on similarity of outcomes); see Viele 2013 <doi:10.1002/pst.1589> for an overview. This package implements the hierarchical commensurate prior approach to dynamic borrowing as described in Hobbes 2011 <doi:10.1111/j.1541-0420.2011.01564.x>. There are three main functionalities. First, 'psborrow2' provides a user-friendly interface for applying dynamic borrowing on the study results handles the Markov Chain Monte Carlo sampling on behalf of the user. Second, 'psborrow2' provides a simulation framework to compare different borrowing parameters (e.g. full borrowing, no borrowing, dynamic borrowing) and other trial and borrowing characteristics (e.g. sample size, covariates) in a unified way. Third, 'psborrow2' provides a set of functions to generate data for simulation studies, and also allows the user to specify their own data generation process. This package is designed to use the sampling functions from 'cmdstanr' which can be installed from <https://mc-stan.org/r-packages/>.
How to cite:
Matt Secrest (2024). psborrow2: Bayesian Dynamic Borrowing Analysis and Simulation. R package version 0.0.3.3, https://cran.r-project.org/web/packages/psborrow2
Previous versions and publish date:
0.0.3.2 (2024-04-03 21:30), 0.0.3.3 (2024-04-12 23:10)
Other packages that cited psborrow2 R package
View psborrow2 citation profile
Other R packages that psborrow2 depends, imports, suggests or enhances
Functions, R codes and Examples using the psborrow2 R package
Full psborrow2 package functions and examples
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

actxps  
Create Actuarial Experience Studies: Prepare Data, Summarize Results, and Create Reports
Experience studies are used by actuaries to explore historical experience across blocks of business ...
Download / Learn more Package Citations See dependency  
SemiEstimate  
Solve Semi-Parametric Estimation by Implicit Profiling
Semi-parametric estimation problem can be solved by two-step Newton-Raphson iteration. The implicit ...
Download / Learn more Package Citations See dependency  
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  
smartsizer  
Power Analysis for a SMART Design
A set of tools for determining the necessary sample size in order to identify the optimal dynamic tr ...
Download / Learn more Package Citations See dependency  
eia  
API Wrapper for U.S. Energy Information Administration ('EIA') Open Data
Provides API access to data from the U.S. Energy Information Administration ('EIA') < ...
Download / Learn more Package Citations See dependency  
crsra  
Tidying and Analyzing 'Coursera' Research Export Data
Tidies and performs preliminary analysis of 'Coursera' research export data. These export data can b ...
Download / Learn more Package Citations See dependency  

22,030

R Packages

186,816

Dependencies

55,244

Author Associations

22,031

Publication Badges

© Copyright 2022 - present. All right reserved, rpkg.net. Contact Us / Suggestions / Concerns