{ "_id": "6ae2863f8d250e7ad09eefb0", "Package": "lepidoptera", "Title": "Domain-Agnostic Causal Simulation Engine with Mixed Variable\nTypes", "Version": "0.1.2", "Authors@R": "person(\"Danilo\", \"Sarti\",\nemail = \"danilosarti@rcsi.ie\",\nrole = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"\"))", "Description": "A domain-agnostic simulation engine for structural causal\nmodels with heterogeneous variable types. Users define systems\nof continuous, categorical, and ordinal features, declare a\ndirected acyclic graph (DAG) over them, attach typed generative\nmechanisms to each node, and simulate synthetic populations. A\npre-built mechanism library covers all nine\nparent-type/child-type combinations. Vine copula mechanisms\nestimate full joint dependence from observed data via\npair-copula constructions (Bedford and Cooke, 2002)\n. Individual-level counterfactual\nqueries are supported through partial propagation, which\nfreezes unaffected random draws and resamples only the\ndownstream subgraph, enabling individual treatment effect (ITE)\nestimation alongside population-level average treatment effects\n(ATE). Any pre-fitted predictive model can serve as a\ngenerative mechanism through three wrapper functions. Systems\nserialise to JSON for cross-language portability with the\ncompanion Python package.", "License": "MIT + file LICENSE", "URL": "https://github.com/danilosarti/lepidoptera", "BugReports": "https://github.com/danilosarti/lepidoptera/issues", "Encoding": "UTF-8", "Config/testthat/edition": "3", "RoxygenNote": "7.3.3", "VignetteBuilder": "knitr", "NeedsCompilation": "no", "Packaged": { "Date": "2026-10-28 23:30:12 UTC", "User": "root" }, "Author": "Danilo Sarti [aut, cre]", "Maintainer": "Danilo Sarti ", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2026-10-28 11:40:02 UTC", "RemoteUrl": "https://github.com/cran/lepidoptera", "RemoteRef": "HEAD", "RemoteSha": "52088561ae98944af19cbe848e6e3786d15861ce", "_user": "cran", "_type": "src", "_file": "lepidoptera_0.1.2.tar.gz", "_fileid": "https://r2.ropensci.org/bd2fd0d935aa4c02947291defe6e6d4e65b22c6b7c5abbab412876f5a8e5af12", "_filesize": 162869, "_sha256": 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