Other packages > Find by keyword >

BayesCACE  

Bayesian Model for CACE Analysis
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("BayesCACE", "1.2.3")



Attach the package and use:
library("BayesCACE")
Maintained by
Jinhui Yang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-11-08
Latest Update: 2022-10-02
Description:
Performs CACE (Complier Average Causal Effect analysis) on either a single study or meta-analysis of datasets with binary outcomes, using either complete or incomplete noncompliance information. Our package implements the Bayesian methods proposed in Zhou et al. (2019) , which introduces a Bayesian hierarchical model for estimating CACE in meta-analysis of clinical trials with noncompliance, and Zhou et al. (2021) , with an application example on Epidural Analgesia.
How to cite:
Jinhui Yang (2021). BayesCACE: Bayesian Model for CACE Analysis. R package version 1.2.3, https://cran.r-project.org/web/packages/BayesCACE. Accessed 03 Feb. 2025.
Previous versions and publish date:
1.0 (2021-11-08 10:10), 1.1 (2022-01-05 23:40), 1.2.1 (2022-06-14 00:30), 1.2 (2022-01-06 13:30)
Other packages that cited BayesCACE R package
View BayesCACE citation profile
Other R packages that BayesCACE depends, imports, suggests or enhances
Complete documentation for BayesCACE
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

metaboData  
Example Metabolomics Data Sets
Data sets from a variety of biological sample matrices, analysed using a number of mass spectrometr ...
Download / Learn more Package Citations See dependency  
predictoR  
Predictive Data Analysis System
Perform a supervised data analysis on a database through a 'shiny' graphical interface. It includes ...
Download / Learn more Package Citations See dependency  
Bolstad2  
Bolstad Functions
A set of R functions and data sets for the book "Understanding Computational Bayesian Statistics." T ...
Download / Learn more Package Citations See dependency  
sgof  
Multiple Hypothesis Testing
Seven different methods for multiple testing problems. The SGoF-type methods (see for example, Carva ...
Download / Learn more Package Citations See dependency  
cmce  
Computer Model Calibration for Deterministic and Stochastic Simulators
Implements the Bayesian calibration model described in Pratola and Chkrebtii (2018) ...
Download / Learn more Package Citations See dependency  
HGMND  
Heterogeneous Graphical Model for Non-Negative Data
Graphical model is an informative and powerful tool to explore the conditional dependence relationsh ...
Download / Learn more Package Citations See dependency  

23,630

R Packages

204,513

Dependencies

64,101

Author Associations

23,581

Publication Badges

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