bayesmrclus
Bayesian Hierarchical Modeling for Two-Sample Summary-Data Mendelian Randomization under Heterogeneity
Science Score: 44.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
-
○Academic publication links
-
○Academic email domains
-
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (9.3%) to scientific vocabulary
Repository
Bayesian Hierarchical Modeling for Two-Sample Summary-Data Mendelian Randomization under Heterogeneity
Basic Info
- Host: GitHub
- Owner: sergioventurini
- License: gpl-3.0
- Language: R
- Default Branch: main
- Size: 2.4 MB
Statistics
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
BayesMRclus
Overview
Current release: 0.0.4
R version required: at least 3.5.0
R package for performing inference in a Bayesian setting for two-sample summary-data Mendelian randomization (MR) design with and without clustering of the genetic variants.
Installation instructions
The easiest way to get the package is to install it from GitHub by
executing the following code (uncomment the first line if you don't
have the devtools package available in your local installation of R):
``` r
install.packages("devtools")
devtools::install_github("sergioventurini/BayesMRclus") ```
After installing it, to use the package run library(BayesMRclus).
To see a description of the package, execute the command ?BayesMRclus.
Owner
- Name: Sergio Venturini
- Login: sergioventurini
- Kind: user
- Location: Piacenza/Cremona - Italy
- Company: Università Cattolica del Sacro Cuore
- Repositories: 3
- Profile: https://github.com/sergioventurini
Citation (CITATION)
bibentry(bibtype = "Article",
title = "{B}ayesian {H}ierarchical {M}odeling for {T}wo-{S}ample {S}ummary-{D}ata {M}endelian {R}andomization under {H}eterogeneity",
author = c(person(given = "Sergio",
family = "Venturini",
email = "sergio.venturini@unicatt.it"),
person(given = "Guido",
family = "Consonni",
email = "guido.consonni@unicatt.it"),
person(given = "Federico",
family = "Castelletti",
email = "federico.castelletti@unicatt.it")),
journal = "",
year = "",
volume = "",
number = "",
pages = "",
doi = "",
header = "To cite BayesMRclus in publications use:"
)
GitHub Events
Total
- Push event: 9
Last Year
- Push event: 9
Dependencies
- R >= 3.6.0 depends
- methods * depends
- stats * depends
- utils * depends
- abind * imports
- bayesplot >= 1.11.1 imports
- coda >= 0.19 imports
- ggplot2 >= 3.5.1 imports
- grDevices * imports
- graphics * imports
- parallel >= 4.4.1 imports
- tools * imports
- knitr * suggests
- mcmcplots * suggests
- rmarkdown * suggests
- testthat * suggests