%>% | The magrittr pipe |

addPriorGroups | Group together latent parameters by prior distribution. |

baseballData | Dataframe of 12,145 observations of baseball games in 2010 - 2014 |

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. |

bernoulli | probability distributions |

beta | probability distributions |

binomial | probability distributions |

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. |

categorical | probability distributions |

cauchy | probability distributions |

check_r_causact_env | Check if 'r-causact' Conda environment exists |

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 |

chi_squared | probability distributions |

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. |

dagp_plot | Plot posterior distribution from dataframe of posterior draws. |

dag_create | Create a graph object for drawing a DAG. |

dag_diagrammer | Convert graph to Diagrammer object for visualization |

dag_dim | Add dimension information to 'causact_graph' |

dag_edge | Add edge (or edges) between nodes |

dag_greta | Generate a representative sample of the posterior distribution |

dag_merge | Merge two non-intersecting 'causact_graph' objects |

dag_node | Add a node to an existing 'causact_graph' object |

dag_numpyro | Generate a representative sample of the posterior distribution |

dag_plate | Create a plate representation for repeated nodes. |

dag_render | Render the graph as an htmlwidget |

delivDF | 117,790 line items associated with 23,339 shipments. |

dirichlet | probability distributions |

distributions | probability distributions |

exponential | probability distributions |

gamma | probability distributions |

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 variable in the 'houseDF' dataset. |

install_causact_deps | Install causact's python dependencies like numpyro, arviz, and xarray. |

inverse_gamma | probability distributions |

laplace | probability distributions |

lkj_correlation | probability distributions |

logistic | probability distributions |

lognormal | probability distributions |

meaningfulLabels | Store meaningful parameter labels |

multinomial | probability distributions |

multivariate_normal | probability distributions |

negative_binomial | probability distributions |

normal | probability distributions |

pareto | probability distributions |

poisson | probability distributions |

prodLineDF | Product line and product category assignments for 12,026 partID's. |

rbern | The Bernoulli Distribution |

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 |

student | probability distributions |

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/. |

uniform | probability distributions |

weibull | probability distributions |