Detect and quantify community assembly processes using trait values of individuals or populations, the T-statistics and other metrics, and dedicated null models.

Functions designed to simulate data that conform to basic
          unidimensional IRT models (for now 3-parameter binary response models
          and graded response models) along with Post-Hoc CAT simulations of
          those models given various item selection methods, ability estimation
          methods, and termination criteria. See
          Wainer (2000) <doi:10.4324/9781410605931>,
          van der Linden & Pashley (2010) <doi:10.1007/978-0-387-85461-8_1>,
          and Eggen (1999) <doi:10.1177/01466219922031365> for more details.

Formal psychological models of categorization and learning, independently-replicated data sets against which to test them, and simulation archives.

Although many software tools can perform meta-analyses on genetic case-control data,
    none of these apply to combined case-control and family-based (TDT) studies. This package conducts
    fixed-effects (with inverse variance weighting) and random-effects [DerSimonian and Laird (1986)
    <DOI:10.1016/0197-2456(86)90046-2>] meta-analyses on combined genetic data. Specifically, this package
    implements a fixed-effects model [Kazeem and Farrall (2005) <DOI:10.1046/j.1529-8817.2005.00156.x>]
    and a random-effects model [Nicodemus (2008) <DOI:10.1186/1471-2105-9-130>] for combined studies.

Methods and plotting functions for displaying categorical data on an 
             interactive heatmap using 'plotly'. Provides functionality for strictly 
             categorical heatmaps, heatmaps illustrating categorized continuous data 
             and annotated heatmaps. Also, there are various options to interact with the x-axis
             to prevent overlapping axis labels, e.g. via simple sliders or range sliders. 
             Besides the viewer pane, resulting plots can be saved as a standalone HTML file, 
             embedded in 'R Markdown' documents or in a 'Shiny' app.