{ceplotr}
: Model agnostic plotting for cost effectiveness analysis This package was outlined ahead of the HE Hackathon 2019 @Imperial. After a group discussion it was not continued in favour of aiming to improve documentation + testing for BCEA
This package aims to:
For help getting started see the Getting Started vignette.
Install the CRAN version (when released):
install.packages("ceplotr")
Alternatively install the development version from GitHub:
# install.packages("remotes")
remotes::install_github("seabbs/ceplotr")
Lets get started quickly by
See Functions for more details of the functions used and for more package functionality.
ceplotr::cd_dashboard()
File an issue here if there is a feature that you think is missing from the package, or better yet submit a pull request.
Please note that the ceplotr
project is released with a Contributor
Code of
Conduct.
By contributing to this project, you agree to abide by its terms.
If using ceplotr
please consider citing the package in the relevant
work. Citation information can be generated in R using the following
(after installing the package),
citation("ceplotr")
#>
#> To cite ceplotr in publications use:
#>
#> Sam Abbott (2019). ceplotr - -
#>
#> A BibTeX entry for LaTeX users is
#>
#> @Article{,
#> title = {ceplotr},
#> author = {Sam Abbott},
#> journal = {-},
#> year = {2019},
#> }
This package has been developed in docker based on the
rocker/tidyverse
image, to access the development environment enter
the following at the command line (with an active docker daemon
running),
docker pull seabbs/ceplotr
docker run -d -p 8787:8787 -e USER=ceplotr -e PASSWORD=ceplotr --name getTBinR seabbs/ceplotr
The rstudio client can be accessed on port 8787
at localhost
(or
your machines ip). The default username is ceplotr and the default
password is ceplotr. Alternatively, access the development environment
via
binder.
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