Contains a collection of useful
    functions for basic data computation and manipulation,
    wrapper functions for generating 'ggplot2' graphics,
    including statistical model diagnostic plots, methods
    for computing statistical models quality measures (such
    as AIC, BIC, r squared, root mean squared error) and
    general utilities.

Estimate, fit and compare Structural Equation Models (SEM) and network models (Gaussian Graphical Models; GGM) using OpenMx. Allows for two possible generalizations to include GGMs in SEM: GGMs can be used between latent variables (latent network modeling; LNM) or between residuals (residual network modeling; RNM). For details, see Epskamp, Rhemtulla and Borsboom (2017) <doi:10.1007/s11336-017-9557-x>.

Implements the letter value 'boxplot' which extends the
    standard 'boxplot' to deal with both larger and smaller number of data
    points by dynamically selecting the appropriate number of letter
    values to display.

The manual approach of Litchfield and Wilcoxon (1949)
    <http://jpet.aspetjournals.org/content/96/2/99.abstract>
    for evaluating dose-effect experiments
    is automated so that the computer can do the work.

Provides a flexible and easy-to use interface for the soil vegetation 
    atmosphere transport (SVAT) model LWF-BROOK90, written in Fortran.
    The model simulates daily transpiration, interception, soil and snow evaporation, 
    streamflow and soil water fluxes through a soil profile covered with vegetation, 
    as described in Hammel & Kennel (2001, ISBN:978-3-933506-16-0) and Federer et al. (2003) 
    <doi:10.1175/1525-7541(2003)004%3C1276:SOAETS%3E2.0.CO;2>. A set of high-level functions
    for model set up, execution and parallelization provides easy access to plot-level SVAT 
    simulations, as well as multi-run and large-scale applications.

Access to selected functions found in 'liblwgeom' <https://github.com/postgis/postgis/tree/master/liblwgeom>, the light-weight geometry library used by 'PostGIS' <http://postgis.net/>.