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.

Fits Modern Analogue Technique and Weighted Averaging transfer
  	     function models for prediction of environmental data from species
	     data, and related methods used in palaeoecology.

Functions for I/O, visualisation and analysis of functional Magnetic Resonance Imaging (fMRI) datasets stored in the ANALYZE or 'NIFTI' format. Note that the latest version of 'XQuartz' seems to be necessary under MacOS.

Easy data analysis and quality checks which are commonly used in data science. It combines the tabular and graphical visualization for easier usability. This package also creates an R Notebook with detailed data exploration with one function call. The notebook can be made interactive.

Simple radiocarbon calibration and chronological analysis.
    This package allows the calibration of radiocarbon ages and modern
    carbon fraction values using multiple calibration curves. It allows
    the calculation of highest density region intervals and credible
    intervals. The package also provides tools for visualising results and
    estimating statistical summaries.

Enables gene regulatory network (GRN) analysis on single cell clusters,
    using the GRN analysis software 'ANANSE', Xu et al.(2021) <doi:10.1093/nar/gkab598>.
    Export data from 'Seurat' objects, for GRN analysis by 'ANANSE' 
    implemented in 'snakemake'. Finally, incorporate results for visualization 
    and interpretation.

An interactive 'shiny' application for performing non-compartmental analysis (NCA) on
  pre-clinical and clinical pharmacokinetic data. The package builds on 'PKNCA' for core estimators and provides interactive visualizations, CDISC
  outputs ('ADNCA', 'PP', 'ADPP') and configurable TLGs (tables, listings, and graphs). Typical use cases include exploratory
  analysis, validation, reporting or teaching/demonstration of NCA methods. Methods and core
  estimators are described in Denney, Duvvuri, and Buckeridge (2015) "Simple, Automatic
  Noncompartmental Analysis: The PKNCA R Package" <doi:10.1007/s10928-015-9432-2>.