A testing framework for testing the multivariate point null hypothesis. 
    A testing framework described in Elder et al. (2022) <arXiv:2203.01897> to test the multivariate point null hypothesis.  After the user selects a parameter of interest and defines the assumed data generating mechanism, this information should be encoded in functions for the parameter estimator and its corresponding influence curve. Some parameter and data generating mechanism combinations have codings in this package, and are explained in detail in the article.

A method for automatic detection of peaks in noisy periodic and quasi-periodic signals. This method, called automatic multiscale-based peak detection (AMPD), is based on the calculation and analysis of the local maxima scalogram, a matrix comprising the scale-dependent occurrences of local maxima.
     For further information see  <doi:10.3390/a5040588>.

Predicts antimicrobial peptides using random forests trained on the
    n-gram encoded peptides. The implemented algorithm can be accessed from
    both the command line and shiny-based GUI. The AmpGram model is too large 
    for CRAN and it has to be downloaded separately from the repository:
    <https://github.com/michbur/AmpGramModel>.

A toolkit to predict antimicrobial peptides from protein sequences on a genome-wide scale.
    It incorporates two support vector machine models ("precursor" and "mature") trained on publicly available antimicrobial peptide data using calculated
    physico-chemical and compositional sequence properties described in Meher et al. (2017) <doi:10.1038/srep42362>.
    In order to support genome-wide analyses, these models are designed to accept any type of protein as input
    and calculation of compositional properties has been optimised for high-throughput use. For best results it is important to select the model that accurately 
    represents your sequence type: for full length proteins, it is recommended to use the default "precursor" model. The alternative, "mature", model is best suited
    for mature peptide sequences that represent the final antimicrobial peptide sequence after post-translational processing. For details see Fingerhut et al. (2020) <doi:10.1093/bioinformatics/btaa653>.
    The 'ampir' package is also available via a Shiny based GUI at <https://ampir.marine-omics.net/>.