Three Shiny apps are provided that introduce Harvest Control Rules (HCR) for fisheries management.
    'Introduction to HCRs' provides a simple overview to how HCRs work. Users are able to select their own HCR and
    step through its performance, year by year. Biological variability and estimation uncertainty are introduced.
    'Measuring performance' builds on the previous app and introduces the idea of using performance indicators
    to measure HCR performance.
    'Comparing performance' allows multiple HCRs to be created and tested, and their performance compared so that the
    preferred HCR can be selected.

Increasingly powerful techniques for high-throughput sequencing open the possibility to comprehensively characterize microbial communities, including rare species. However, a still unresolved issue are the substantial error rates in the experimental process generating these sequences. To overcome these limitations we propose an approach, where each sample is split and the same amplification and sequencing protocol is applied to both halves. This procedure should allow to detect likely PCR and sequencing artifacts, and true rare species by comparison of the results of both parts. The AmpliconDuo package, whereas amplicon duo from here on refers to the two amplicon data sets of a split sample, is intended to help interpret the obtained read frequency distribution across split samples, and to filter the false positive reads.

Functions to simplify and standardise antimicrobial resistance (AMR)
  data analysis and to work with microbial and antimicrobial properties by
  using evidence-based methods, as described in <doi:10.18637/jss.v104.i03>.

Automates regression testing of package 'allelematch'. Over
    2500 tests covers all functions in 'allelematch', reproduces the
    examples from the documentation and includes negative tests. The
    implementation is based on 'testthat'.

Manage and analyze animal movement data. The functionality of
    'amt' includes methods to calculate home ranges, track statistics
    (e.g. step lengths, speed, or turning angles), prepare data for
    fitting habitat selection analyses, and simulation of space-use from
    fitted step-selection functions.