Predicts amyloid proteins 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.

A free software for a fast and easy analysis of 1:1 molecular interaction studies. 
   This package is suitable for a high-throughput data analysis. 
   Both the online app and the package are completely open source. 
   You provide a table of sensogram, tell 'anabel' which method to use,
   and it takes care of all fitting details.
   The first two releases of 'anabel' were created and implemented as in 
   (<doi:10.1177/1177932218821383>, <doi:10.1093/database/baz101>).

Is a collection of models to analyze genome scale codon
        data using a Bayesian framework. Provides visualization
        routines and checkpointing for model fittings. Currently
        published models to analyze gene data for selection on codon
        usage based on Ribosome Overhead Cost (ROC) are: ROC (Gilchrist
        et al. (2015) <doi:10.1093/gbe/evv087>), and ROC with phi
        (Wallace & Drummond (2013) <doi:10.1093/molbev/mst051>). In
        addition 'AnaCoDa' contains three currently unpublished models.
        The FONSE (First order approximation On NonSense Error) model
        analyzes gene data for selection on codon usage against of
        nonsense error rates. The PA (PAusing time) and PANSE (PAusing
        time + NonSense Error) models use ribosome footprinting data to
        analyze estimate ribosome pausing times with and without
        nonsense error rate from ribosome footprinting data.

Performs simple and canonical CA (covariates on rows/columns) on a two-way frequency table (with missings) by means of SVD. Different scaling methods (standard, centroid, Benzecri, Goodman) as well as various plots including confidence ellipsoids are provided.

Provides a set of functions for interacting with the 'DigitalOcean'
    API <https://www.digitalocean.com/>, including creating images, destroying 
    them, rebooting, getting details on regions, and available images.