Provides miscellaneous tools for structural equation modeling, 
             many of which extend the 'lavaan' package. For example, latent
             interactions can be estimated using product indicators (Lin et al.,
             2010, <doi:10.1080/10705511.2010.488999>) and simple effects probed;
             analytical power analyses can be conducted (Jak et al., 2021,
             <doi:10.3758/s13428-020-01479-0>); and scale reliability
             can be estimated based on estimated factor-model parameters.

SEM Trees and SEM Forests -- an extension of model-based decision
    trees and forests to Structural Equation Models (SEM). SEM trees hierarchically
    split empirical data into homogeneous groups each sharing similar data patterns
    with respect to a SEM by recursively selecting optimal predictors of these
    differences. SEM forests are an extension of SEM trees. They are ensembles of
    SEM trees each built on a random sample of the original data. By aggregating
    over a forest, we obtain measures of variable importance that are more robust
    than measures from single trees. A description of the method was published by
    Brandmaier, von Oertzen, McArdle, & Lindenberger (2013) <doi:10.1037/a0030001> 
    and Arnold, Voelkle, & Brandmaier (2020) <doi:10.3389/fpsyg.2020.564403>.

Tools and functions for parsing, rendering and operating on
    semantic version strings. Semantic versioning is a simple set of rules
    and requirements that dictate how version numbers are assigned and
    incremented as outlined at <http://semver.org>.

Semantic Versions allow for standardized management versions. 
    This package implements semantic versioning handling in R. using R6 to 
    create a mutable object that can handle deciphering and checking versions.

Send email using 'Sendgrid' <https://sendgrid.com/> 
            mail API(v3) <https://docs.sendgrid.com/api-reference/how-to-use-the-sendgrid-v3-api/authentication>.

A system enables cross study Analysis by extracting and filtering study data for 
    control animals from  'CDISC' 'SEND' Study Repository. 
    These data types are supported: Body Weights, Laboratory test results and Microscopic findings. 
    These database types are supported: 'SQLite' and 'Oracle'.