Package: causact 0.5.8.9000

causact: Fast, Easy, and Visual Bayesian Inference

Accelerate Bayesian analytics workflows in 'R' through interactive modelling, visualization, and inference. Define probabilistic graphical models using directed acyclic graphs (DAGs) as a unifying language for business stakeholders, statisticians, and programmers. This package relies on interfacing with the 'numpyro' python package.

Authors:Adam Fleischhacker [aut, cre, cph], Daniela Dapena [ctb], Rose Nguyen [ctb], Jared Sharpe [ctb]

causact_0.5.8.9000.tar.gz
causact_0.5.8.9000.zip(r-4.7)causact_0.5.8.9000.zip(r-4.6)causact_0.5.8.9000.zip(r-4.5)
causact_0.5.8.9000.tgz(r-4.6-any)causact_0.5.8.9000.tgz(r-4.5-any)
causact_0.5.8.9000.tar.gz(r-4.7-any)causact_0.5.8.9000.tar.gz(r-4.6-any)
causact_0.5.8.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
causact/json (API)

# Install 'causact' in R:

install.packages('causact', repos = c('https://flyaflya.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/flyaflya/causact/issues

Datasets:

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.
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.
delivDF - 117,790 line items associated with 23,339 shipments.
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.
prodLineDF - Product line and product category assignments for 12,026 partID's.
schoolsDF - This example, often referred to as 8-schools, was popularized by its inclusion in Bayesian Data Analysis (Gelman, Carlin, & Rubin 1997).
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/.

On CRAN:

bayesian-inference dags posterior-probability probabilistic-graphical-models probabilistic-programming

7.37 score 47 stars 62 scripts 693 downloads 39 exports 75 dependencies

Last updated from:d50610e3d9. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	165
source / vignettes	OK	237
linux-release-x86_64	OK	177
macos-release-arm64	OK	166
macos-oldrel-arm64	OK	168
windows-devel	OK	274
windows-release	OK	128
windows-oldrel	OK	160
wasm-release	OK	133

Exports:%>%addPriorGroups bernoulli beta binomial categorical cauchy chi_squared dag_create dag_diagrammer dag_edge dag_greta dag_merge dag_node dag_numpyro dag_plate dag_render dagp_plot dirichlet exponential gamma install_causact_deps inverse_gamma laplace lkj_correlation logistic lognormal meaningfulLabels multinomial multivariate_normal negative_binomial normal pareto poisson rbern setDirectedGraphTheme student uniform weibull

Dependencies:base64enc bit bit64 bslib cachem cli clipr cowplot cpp11 crayon DiagrammeR digest dplyr evaluate farver fastmap fontawesome forcats fs generics ggplot2 glue gtable here highr hms htmltools htmlwidgets igraph isoband jquerylib jsonlite knitr labeling lattice lifecycle magrittr Matrix memoise mime pillar pkgconfig png prettyunits progress purrr R6 rappdirs RColorBrewer Rcpp RcppTOML readr reticulate rlang rmarkdown rprojroot rstudioapi S7 sass scales stringi stringr tibble tidyr tidyselect tinytex tzdb utf8 vctrs viridisLite visNetwork vroom withr xfun yaml

causact: From narrative to computational insight

Rendered fromnarrative-to-insight-with-causact.Rmdusingknitr::rmarkdown

Last update: 2023-08-08
Started: 2022-06-07

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
The magrittr pipe	%>%
Group together latent parameters by prior distribution.	addPriorGroups
Dataframe of 12,145 observations of baseball games in 2010 - 2014	baseballData
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.	beachLocDF
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.	carModelDF
Check if 'r-causact' Conda environment exists	check_r_causact_env
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	chimpanzeesDF
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.	corruptDF
Create a graph object for drawing a DAG.	dag_create
Convert graph to Diagrammer object for visualization	dag_diagrammer
Add dimension information to 'causact_graph'	dag_dim
Add edge (or edges) between nodes	dag_edge
Generate a representative sample of the posterior distribution	dag_greta
Merge two non-intersecting 'causact_graph' objects	dag_merge
Add a node to an existing 'causact_graph' object	dag_node
Generate a representative sample of the posterior distribution	dag_numpyro
Create a plate representation for repeated nodes.	dag_plate
Render the graph as an htmlwidget	dag_render
Plot posterior distribution from dataframe of posterior draws.	dagp_plot
117,790 line items associated with 23,339 shipments.	delivDF
probability distributions	bernoulli beta binomial categorical cauchy chi_squared dirichlet distributions exponential gamma inverse_gamma laplace lkj_correlation logistic lognormal multinomial multivariate_normal negative_binomial normal pareto poisson student uniform weibull
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	gymDF
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.	houseDF
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.	houseDFDescr
Install causact's python dependencies like numpyro.	install_causact_deps
Store meaningful parameter labels	meaningfulLabels
Product line and product category assignments for 12,026 partID's.	prodLineDF
The Bernoulli Distribution	rbern
This example, often referred to as 8-schools, was popularized by its inclusion in Bayesian Data Analysis (Gelman, Carlin, & Rubin 1997).	schoolsDF
Set DiagrammeR defaults for graphical models	setDirectedGraphTheme
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/	ticketsDF
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/.	totalBeachgoersRepSample