P281424/AMR
1
0
Fork 0
mirror of https://github.com/msberends/AMR.git synced 2025-10-31 06:08:14 +01:00
Code Releases Activity

remove MO_lookup from sysdata.rda

Browse Source
This commit is contained in:
dr. M.S. (Matthijs) Berends
2023-01-21 19:55:19 +01:00
parent 79c8415d3e
commit 8a92c5a869
16 changed files with 89 additions and 236 deletions
Download Patch File Download Diff File Expand all files Collapse all files

2
man/AMR.Rd
View File

@@ -28,7 +28,7 @@ A BibTeX entry for LaTeX users is:
\description{
Welcome to the \code{AMR} package.
The \code{AMR} package is a \href{https://msberends.github.io/AMR#copyright}{free and open-source} R package with \href{https://en.wikipedia.org/wiki/Dependency_hell}{zero dependencies} to simplify the analysis and prediction of Antimicrobial Resistance (AMR) and to work with microbial and antimicrobial data and properties, by using evidence-based methods. \strong{Our aim is to provide a standard} for clean and reproducible AMR data analysis, that can therefore empower epidemiological analyses to continuously enable surveillance and treatment evaluation in any setting. \href{https://msberends.github.io/AMR/authors.html}{Many different researchers} from around the globe are continually helping us to make this a successful and durable project!
The \code{AMR} package is a \href{https://msberends.github.io/AMR/#copyright}{free and open-source} R package with \href{https://en.wikipedia.org/wiki/Dependency_hell}{zero dependencies} to simplify the analysis and prediction of Antimicrobial Resistance (AMR) and to work with microbial and antimicrobial data and properties, by using evidence-based methods. \strong{Our aim is to provide a standard} for clean and reproducible AMR data analysis, that can therefore empower epidemiological analyses to continuously enable surveillance and treatment evaluation in any setting. \href{https://msberends.github.io/AMR/authors.html}{Many different researchers} from around the globe are continually helping us to make this a successful and durable project!
This work was published in the Journal of Statistical Software (Volume 104(3); \href{https://doi.org/10.18637/jss.v104.i03}{DOI 10.18637/jss.v104.i03}) and formed the basis of two PhD theses (\href{https://doi.org/10.33612/diss.177417131}{DOI 10.33612/diss.177417131} and \href{https://doi.org/10.33612/diss.192486375}{DOI 10.33612/diss.192486375}).