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v0.5.0

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dr. M.S. (Matthijs) Berends 2018-11-30 16:16:04 +01:00
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commit 5cfa5bbfe3
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.Rbuildignore
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^CRAN-RELEASE$
^.*\.Rproj$
^\.Rproj\.user$
.travis.yml

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vignettes/*.R
.DS_Store
^cran-comments\.md$
^CRAN-RELEASE$

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DESCRIPTION
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Package: AMR
Version: 0.4.0.9014
Date: 2018-11-30
Version: 0.5.0
Date: 2018-12-01
Title: Antimicrobial Resistance Analysis
Authors@R: c(
person(
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role = "ths",
comment = c(ORCID = "0000-0003-1634-0010")))
Description: Functions to simplify the analysis and prediction of Antimicrobial
Resistance (AMR) and work with microbial and antimicrobial properties by using
Resistance (AMR) to work with microbial and antimicrobial properties by using
evidence-based methods.
Depends:
R (>= 3.1.0)

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NEWS.md
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# 0.4.0.90xx (latest development version)
# 0.5.0
**Published on CRAN: 2018-12-01**
#### New
* Repository moved to GitLab: https://gitlab.com/msberends/AMR
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* Updated vignettes to comply with README
# 0.4.0 (latest stable release)
# 0.4.0
**Published on CRAN: 2018-10-01**
#### New
* The data set `microorganisms` now contains **all microbial taxonomic data from ITIS** (kingdoms Bacteria, Fungi and Protozoa), the Integrated Taxonomy Information System, available via https://itis.gov. The data set now contains more than 18,000 microorganisms with all known bacteria, fungi and protozoa according ITIS with genus, species, subspecies, family, order, class, phylum and subkingdom. The new data set `microorganisms.old` contains all previously known taxonomic names from those kingdoms.

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README.md
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# `AMR` <img src="man/figures/logo_amr.png" align="right" height="120px" />
### An [R package](https://www.r-project.org) to simplify the analysis and prediction of Antimicrobial Resistance (AMR) and work with antibiotic properties by using evidence-based methods.
### An [R package](https://www.r-project.org) to simplify the analysis and prediction of Antimicrobial Resistance (AMR) and to work with antibiotic properties by using evidence-based methods.
This R package was created for academic research by PhD students of the Faculty of Medical Sciences of the [University of Groningen](https://www.rug.nl) and the Medical Microbiology & Infection Prevention (MMBI) department of the [University Medical Center Groningen (UMCG)](https://www.umcg.nl).