The complete scripts from the American version of the Office
    television show in tibble format. Use this package to analyze and have
    fun with text from the best series of all time.

A collection of useful functions and example code created and
    used by the Schloss Lab for reproducible microbiome research. Perform
    common tasks like read files created by mothur <https://mothur.org/>,
    tidy up your microbiome data, and format R Markdown documents for
    publication.  See the website <http://www.schlosslab.org/schtools/>
    for more information, documentation, and examples.

This is a shape preserving spline <doi:10.1137/0720057>
    which is guaranteed to be monotonic and concave or convex if the
    data is monotonic and concave or convex. It does not use any 
    optimisation and is therefore quick and smoothly converges to a 
    fixed point in economic dynamics problems including value function 
    iteration. It also automatically gives the first two derivatives 
    of the spline and options for determining behaviour when evaluated 
    outside the interpolation domain.

Functions for generating Standardized Climate Indices (SCI). 
		SCI is a transformation of (smoothed) climate (or environmental)
		time series that  removes seasonality and forces the data to
		take values of the standard normal distribution. SCI was 
		originally developed for precipitation. In this case it is 
		known as the Standardized Precipitation Index (SPI).

Remove batch effects by projecting query batches into the reference batch space.

Colour choice in information visualisation is important in order to
    avoid being mislead by inherent bias in the used colour palette. The 'scico'
    package provides access to the perceptually uniform and colour-blindness 
    friendly palettes developed by Fabio Crameri and released under the 
    "Scientific Colour-Maps" moniker. The package contains 24 different palettes 
    and includes both diverging and sequential types.

Set of tools to import, summarize, wrangle, and visualize data. 
    These functions were originally written based on the needs of the 
    various synthesis working groups that were supported by the 
    National Center for Ecological Analysis and Synthesis (NCEAS). 
    These tools are meant to be useful inside and 
    outside of the context for which they were designed.