%>%                     The magrittr pipe
addPriorGroups          Add a column to tidy dataframe of draws that
                        groups parameters by their prior distribution.
                        All parameters with the same prior distribution
                        recieve the same index.
baseballData            Dataframe of 12,145 observations of baseball
                        games in 2010
beachLocDF              Dataframe where each row represents data about
                        one of the 26 mile markers (fake) from mile 0
                        to mile 2.5 along the Ocean City, MD
                        beach/boardwalk.
carModelDF              Dataframe of 1000 (fake) observations of
                        whether certain car buyers were willing to get
                        information on a credit card speciailizing in
                        rewards for adventure travellers.
chimpanzeesDF           Data from behavior trials in a captive group of
                        chimpanzees, housed in Lousiana. From Silk et
                        al. 2005. Nature 437:1357-1359 and further
                        popularized in McElreath, Richard. Statistical
                        rethinking: A Bayesian course with examples in
                        R and Stan. CRC press, 2020.  Experiment
corruptDF               Dataframe of 174 observations where information
                        on the human developmet index (HDI) and the
                        corruption perceptions index (CPI) both exist.
                        Each observation is a country.
dag_create              Create a graph object focused on drawing a DAG.
dag_diagrammer          The graph object should be of class
                        'causact_graph' and created using
                        'dag_create()'.
dag_dim                 Add dimension information to 'causact_graph'
dag_edge                Add an edge (or edges) between nodes in a graph
                        object.
dag_greta               Generate a representive sample of the posterior
                        distribution
dag_merge               Merge two non-intersect 'causact_graph' objects
dag_node                Add a node to an existing 'causact_graph'
                        object
dag_plate               Create a plate representation for repeated
                        nodes.
dag_render              Render the graph as an htmlwidget
dagp_plot               Plot posterior distribution of latent
                        parameters in 'causact_graph' model.
delivDF                 117,790 line items associated with 23,339
                        shipments.
generate_dot2           Generate DOT code using a graph object
grViz2                  R + viz.js
gymDF                   Dataframe of 44 observations of free crossfit
                        classes data Each observation indicates how
                        many students that participated in the free
                        month of crossfit signed up for the monthly
                        membership afterwards
houseDF                 Dataframe of 1,460 observations of home sales
                        in Ames, Iowa.  Known as The Ames Housing
                        dataset, it was compiled by Dean De Cock for
                        use in data science education. Each observation
                        is a home sale.  See 'houseDFDescr' for more
                        info.
houseDFDescr            Dataframe of 523 descriptions of data values
                        from "The Ames Housing dataset", compiled by
                        Dean De Cock for use in data science education.
                        Each observation is a possible value from a
                        varaible in the 'houseDF' dataset.
meaningfulLabels        Store meaningful parameter labels prior to
                        running 'dag_greta()' of 'greta::mcmc()'.  When
                        'greta' creates posterior distributions for
                        multi-dimensional parameters, it creates an
                        often meaningless number system for the
                        parameter (e.g. beta[1,1], beta[2,1], etc.).
                        Since parameter dimensionality is often
                        determined by a 'factor', this function creates
                        labels from the factors unqiue values.
                        'replaceLabels()' applies the text labels
                        stored using this function to the 'greta'
                        output.  The meaningful parameter names are
                        stored in an environment, 'cacheEnv'.
prodLineDF              Product line and product category assignments
                        for 12,026 partID's.
rbern                   Make dbern,pbern,qbern,rbern available for
                        implementation of the Bernoulli distribution
                        functions.
replaceLabels           Replace parameter labels in a 'mcmc.list' with
                        more meaningful labels after they are created
                        by running 'dag_greta()'.  When 'greta' creates
                        posterior distributions for multi-dimensional
                        parameters, it creates an often meaningless
                        number system for the parameter (e.g.
                        beta[1,1], beta[2,1], etc.).  Since parameter
                        dimensionality is often determined by a
                        'factor', this functionality restores the text
                        labels associated with the underlying factor
                        whose coefficients are being estimated (e.g.
                        beta_varValue1, beta_varValue2).  The
                        meaningful parameter names are stored in an
                        environment, 'cacheEnv', created by a call to
                        'dag_greta()'.
replace_in_spec2        Razor-like template for diagram specification
schoolsDF               This example, often referred to as 8-schools,
                        was popularized by its inclusion in Bayesian
                        Data Analysis (Gelman, Carlin, & Rubin 1997).
setDirectedGraphTheme   Set DiagrammeR defaults for graphical models
ticketsDF               Dataframe of 55,167 observations of the number
                        of tickets written by NYC precincts each day
                        Data modified from
                        https://github.com/stan-dev/stancon_talks/tree/master/2018/Contributed-Talks/01_auerbach
                        which originally sourced data from
                        https://opendata.cityofnewyork.us/
totalBeachgoersRepSample
                        A representative sample from a random variable
                        that represents the annual number of beach
                        goers to Ocean City, MD beaches on hot days.
                        Think of this representative sample as coming
                        from either a prior or posterior distribution.
                        An example using this sample is can be found in
                        The Business Analyst's Guide To Business
                        Analytics at https://www.causact.com/.
