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Each observation is a possible value from a variable in the 'houseDF' dataset.", "topics": [ "houseDFDescr" ] }, { "page": "install_causact_deps", "title": "Install causact's python dependencies like numpyro.", "topics": [ "install_causact_deps" ] }, { "page": "meaningfulLabels", "title": "Store meaningful parameter labels", "topics": [ "meaningfulLabels" ] }, { "page": "prodLineDF", "title": "Product line and product category assignments for 12,026 partID's.", "topics": [ "prodLineDF" ] }, { "page": "rbern", "title": "The Bernoulli Distribution", "topics": [ "rbern" ] }, { "page": "schoolsDF", "title": "This example, often referred to as 8-schools, was popularized by its inclusion in Bayesian Data Analysis (Gelman, Carlin, & Rubin 1997).", "topics": [ "schoolsDF" ] }, { "page": "setDirectedGraphTheme", "title": "Set DiagrammeR defaults for graphical models", "topics": [ "setDirectedGraphTheme" ] }, { "page": "ticketsDF", "title": "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/", "topics": [ "ticketsDF" ] }, { "page": "totalBeachgoersRepSample", "title": "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/.", "topics": [ "totalBeachgoersRepSample" ] } ], "_readme": "https://github.com/flyaflya/causact/raw/HEAD/README.md", "_rundeps": [ "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" ], "_vignettes": [ { "source": "narrative-to-insight-with-causact.Rmd", "filename": "narrative-to-insight-with-causact.html", "title": "causact: From narrative to computational insight", "engine": "knitr::rmarkdown", "headings": [ "Motivating Business Narrative", "An Initial Step", "Ensuring Nodes Are RV's", "Adding data, likelihood, and prior", "Modelling the effect of car model with plates", "Making A Probabilistic Statement With An Indicator Function", "Putting A Plate Around The Observed Random Variables", "Getting Help" ], "created": "2022-06-07 15:27:07", "modified": "2023-08-08 22:18:46", "commits": 7 } ], "_score": 7.355183236009675, "_indexed": true, "_nocasepkg": "causact", "_universes": [ "flyaflya" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "0.5.8.9000", "date": "2026-05-21T09:47:16.000Z", "distro": "noble", "commit": "d50610e3d923a4f805e8d16dcde3c6db01c6f019", "fileid": "a25a91d8a30b02dc3e1312647df255a4dbf7293c6dc11a00b3d5bda407698eb2", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/flyaflya/actions/runs/26218247362" }, { "r": "4.6.0", "os": "linux", "version": "0.5.8.9000", "date": "2026-05-21T09:47:41.000Z", "distro": "noble", "commit": "d50610e3d923a4f805e8d16dcde3c6db01c6f019", "fileid": "e0909d13f678e5b21aff97e33cf5b3e20faa7e8e343e444f1138eff592c16d61", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/flyaflya/actions/runs/26218247362" }, { "r": "4.5.3", "os": "mac", "version": "0.5.8.9000", "date": "2026-05-21T09:47:04.000Z", "commit": "d50610e3d923a4f805e8d16dcde3c6db01c6f019", "fileid": "b9ef16c129b5c8d37cea6bbde60b317d84d37802933a05eb8104a95c2d095a81", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/flyaflya/actions/runs/26218247362" }, { "r": "4.6.0", "os": "mac", "version": "0.5.8.9000", "date": "2026-05-21T09:46:47.000Z", "commit": "d50610e3d923a4f805e8d16dcde3c6db01c6f019", "fileid": "8315f0eab42a60242eb2abe4eb2defcb91c068746a650ff87b659ecc327292ad", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/flyaflya/actions/runs/26218247362" }, { "r": "4.6.0", "os": "wasm", "version": "0.5.8.9000", "date": "2026-05-21T20:10:46.000Z", "commit": "d50610e3d923a4f805e8d16dcde3c6db01c6f019", "fileid": "f0de2be6f9e42e0bb358aa8fa37b53a4069e6f22f67fb321e9eec7c65fda5147", "status": "success", "buildurl": "https://github.com/r-universe/flyaflya/actions/runs/26218247362" }, { "r": "4.7.0", "os": "win", "version": "0.5.8.9000", "date": "2026-05-21T09:49:30.000Z", "commit": "d50610e3d923a4f805e8d16dcde3c6db01c6f019", "fileid": "74e7bf289e2e30fe6c333b346df1f91a701b23f543a26c167867294a5658990d", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/flyaflya/actions/runs/26218247362" }, { "r": "4.5.3", "os": "win", "version": "0.5.8.9000", "date": "2026-05-21T09:46:03.000Z", "commit": "d50610e3d923a4f805e8d16dcde3c6db01c6f019", "fileid": "fb4b7d1241f71ac582c98835751233678d5e492eced2a6e8d8b672bf2b9a8d12", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/flyaflya/actions/runs/26218247362" }, { "r": "4.6.0", "os": "win", "version": "0.5.8.9000", "date": "2026-05-21T09:46:08.000Z", "commit": "d50610e3d923a4f805e8d16dcde3c6db01c6f019", "fileid": "e8f71ba08bb9914810dc44aefc11f51e13c520928338e464c8f0c1cea55ae25a", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/flyaflya/actions/runs/26218247362" } ] }