An R to C/C++ interface that runs the Leiden community
    detection algorithm to find a basic partition (). It runs the
    equivalent of the 'leidenalg' find_partition() function, which is
    given in the 'leidenalg' distribution file
    'leiden/src/functions.py'. This package includes the
    required source code files from the official 'leidenalg'
    distribution and functions from the R 'igraph'
    package.  The 'leidenalg' distribution is available from
    <https://github.com/vtraag/leidenalg/>
    and the R 'igraph' package is available from
    <https://igraph.org/r/>.
    The Leiden algorithm is described in the article by
    Traag et al. (2019) <doi:10.1038/s41598-019-41695-z>.
    Leidenbase includes code from the packages:
       igraph version 0.9.8 with license GPL (>= 2),
       leidenalg version 0.8.10 with license GPL 3.

Estimate the slope and intercept of a bivariate
	linear relationship by calculating a posterior density
	that is invariant to interchange and scaling of the
	coordinates.

Set up, run and explore the outputs of the Length-based Multi-species model (LeMans; Hall et al. 2006 <doi:10.1139/f06-039>), focused on the marine environment.

The reference implementation of model equations and default
    parameters for the toxicokinetic-toxicodynamic (TKTD) model of the Lemna
    (duckweed) aquatic plant. Lemna is a standard test macrophyte used in ecotox
    effect studies. The model was described and published by the SETAC Europe
    Interest Group Effect Modeling. It is a refined description of the Lemna
    TKTD model published by Schmitt et al. (2013)
    <doi:10.1016/j.ecolmodel.2013.01.017>.

Functions for working with legends and axis lines of 'ggplot2',
    facets that repeat axis lines on all panels, and some 'knitr' extensions.

Convenient aliases for common ways of misspelling the base R function length(). These include every permutation of the final three letters.

Provides tools for creating and using lenses to simplify data manipulation. Lenses are composable getter/setter pairs for working with data in a purely functional way. Inspired by the 'Haskell' library 'lens' (Kmett, 2012) <https://hackage.haskell.org/package/lens>. For a fairly comprehensive (and highly technical) history of lenses please see the 'lens' wiki <https://github.com/ekmett/lens/wiki/History-of-Lenses>.