-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathREADME.Rmd
71 lines (41 loc) · 2.68 KB
/
README.Rmd
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
---
output: github_document
---
<!-- README.md is generated from README.Rmd. Please edit that file -->
```{r, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "man/figures/README-",
out.width = "100%"
)
```
<!-- badges: start -->
![R-CMD-check](https://github.com/audrey-b/BUGSnet/workflows/R-CMD-check/badge.svg)
<!-- badges: end -->
# BUGSnet
The NetMat package is an extension of the BUGsnet package. As stated in the BUGSnet packages:
"BUGSnet (Bayesian inference Using Gibbs Sampling to conduct NETwork meta-analysis) is a feature-rich R package to conduct Bayesian network meta-analyses in compliance with best practice and reporting guidelines. Bayesian analyses are conducted with JAGS, and BUGS code is automatically generated by the package based on the user's inputs. Outputs are highly customizable and include network plots, tables of network characteristics, league tables and league heat plots, SUCRA plots, rankograms, forest plots, leverage plots, traceplots, posterior mean deviance comparison plots." Additionally enrichment-through-weighting methods are included in the package to conduct Bayesian network meta-analyses for targeted and non-targeted studies.
## Installation instructions
### 1. Install JAGS ###
Go to the [Sourceforge](https://sourceforge.net/projects/mcmc-jags/) page.
Click on Files > JAGS > 4.x
Select your operating system and download JAGS-4.3.0, then install.
### 2. Install R ###
Download and install the most recent version of base R from [CRAN](https://cran.r-project.org/).
### 3. Install Rstudio ###
Download and install the most recent version of RStudio Desktop (free version) from [RStudio](https://www.rstudio.com/products/rstudio/download).
### 4. Install BUGSnet ###
In the RStudio console, type
```r
install.packages("remotes")
remotes::install_github("audrey-b/BUGSnet")
```
## Start using BUGSnet
To start using BUGSnet, follow the vignettes available [here](https://bugsnetsoftware.github.io/).
## License
BUGSnet is available under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0). Kindly review the LICENSE file. You are responsible for conforming to the terms of this license. BUGSnet is provided as-is and comes with absolutely no warranties. Commercial use is prohibited; please contact the authors for more information.
## How to cite BUGSnet?
Béliveau A., Boyne D., Slater J., Brenner D. and Arora P. (2019). BUGSnet: an R package to facilitate the conduct and reporting of Bayesian network Meta-analyses. *BMC Medical Research Methodology*, 19(196).
## Contribution
Please report any [issues](https://github.com/audrey-b/BUGSnet/issues).