Other packages > Find by keyword >

metaconfoundr  

Visualize 'Confounder' Control in Meta-Analyses
View on CRAN: Click here


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

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

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



Attach the package and use:
library("metaconfoundr")
Maintained by
Malcolm Barrett
[Scholar Profile | Author Map]
First Published: 2021-10-12
Latest Update: 2023-01-17
Description:
Visualize 'confounder' control in meta-analysis. 'metaconfoundr' is an approach to evaluating bias in studies used in meta-analyses based on the causal inference framework. Study groups create a causal diagram displaying their assumptions about the scientific question. From this, they develop a list of important 'confounders'. Then, they evaluate whether studies controlled for these variables well. 'metaconfoundr' is a toolkit to facilitate this process and visualize the results as heat maps, traffic light plots, and more.
How to cite:
Malcolm Barrett (2021). metaconfoundr: Visualize 'Confounder' Control in Meta-Analyses. R package version 0.1.2, https://cran.r-project.org/web/packages/metaconfoundr. Accessed 03 May. 2025.
Previous versions and publish date:
0.1.0 (2021-10-12 10:10), 0.1.1 (2022-08-06 16:00)
Other packages that cited metaconfoundr R package
View metaconfoundr citation profile
Other R packages that metaconfoundr depends, imports, suggests or enhances
Complete documentation for metaconfoundr
Downloads during the last 30 days
04/0304/0404/0504/0604/0704/0804/0904/1004/1104/1204/1304/1404/1504/1604/1704/1804/1904/2004/2104/2204/2304/2404/2504/2604/2704/2804/2904/3005/01Downloads for metaconfoundr0246810121416182022242628TrendBars

Today's Hot Picks in Authors and Packages

ncvreg  
Regularization Paths for SCAD and MCP Penalized Regression Models
Fits regularization paths for linear regression, GLM, and Cox regression models using lasso or nonc ...
Download / Learn more Package Citations See dependency  
noisyCE2  
Cross-Entropy Optimisation of Noisy Functions
Cross-Entropy optimisation of unconstrained deterministic and noisy functions illustrated in Rubins ...
Download / Learn more Package Citations See dependency  
scModels  
Fitting Discrete Distribution Models to Count Data
Provides functions for fitting discrete distribution models to count data. Included are the Poisson ...
Download / Learn more Package Citations See dependency  
ENMTools  
Analysis of Niche Evolution using Niche and Distribution Models
Constructing niche models and analyzing patterns of niche evolution. Acts as an interface for many ...
Download / Learn more Package Citations See dependency  
hdme  
High-Dimensional Regression with Measurement Error
Penalized regression for generalized linear models for measurement error problems (aka. errors-in-v ...
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  

24,187

R Packages

207,311

Dependencies

65,312

Author Associations

24,143

Publication Badges

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