{ "_id": "6a1418ddacfb0bcc41d3cc6f", "Package": "ddst", "Title": "Data Driven Smooth Tests", "Version": "1.6.10", "Authors@R": "c(person(\"Przemyslaw\", \"Biecek\", email = \"przemyslaw.biecek@gmail.com\", role = c(\"aut\", \"cre\")),\nperson(\"Teresa\", \"Ledwina\", email = \"ledwina@impan.pl\", role = c(\"aut\")),\nperson(\"Grzegorz\", \"Wylupek\", role = c(\"aut\"))\n)", "Description": "Smooth tests are data driven (alternative hypothesis is\ndynamically selected based on data). In this package you will\nfind two groups of smooth of test: goodness-of-fit tests and\nnonparametric tests for comparing distributions. Among\ngoodness-of-fit tests there are tests for exponent, Gaussian,\nGumbel and uniform distribution. Among nonparametric tests\nthere are tests for stochastic dominance, k-sample test, test\nwith umbrella alternatives and test for change-point problems.", "License": "GPL-2", "Encoding": "UTF-8", "URL": "https://pbiecek.github.io/ddst/", "BugReports": "https://github.com/pbiecek/ddst/issues", "VignetteBuilder": "knitr", "RoxygenNote": "7.2.3", "Repository": "https://pbiecek.r-universe.dev", "Date/Publication": "2023-08-20 22:03:25 UTC", "RemoteUrl": "https://github.com/pbiecek/ddst", "RemoteRef": "HEAD", "RemoteSha": "39506cfc0fba6aa122dfdff534334b066c793652", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-25 09:36:53 UTC", "User": "root" }, "Author": "Przemyslaw Biecek [aut, cre],\nTeresa Ledwina [aut],\nGrzegorz Wylupek [aut]", "Maintainer": "Przemyslaw Biecek ", "MD5sum": "f016b09af1684b1ee4c3ff42f8e5ecac", "_user": "pbiecek", "_type": "src", "_file": "ddst_1.6.10.tar.gz", "_fileid": "2188ecbe4215ceac15b3885c3f36315c6cea1099fa025ae074720f58e24a7311", "_filesize": 1294474, 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Extreme Value Distribution", "topics": [ "ddst.evd.test", "ddst.extr.Nk" ] }, { "page": "ddst.exp.test", "title": "Data Driven Smooth Test for Exponentiality", "topics": [ "ddst.exp.Nk", "ddst.exp.test" ] }, { "page": "ddst.forstochdom.test", "title": "Data Driven Smooth Test for Stochastic Dominance in Two Samples", "topics": [ "ddst.forstochdom.test" ] }, { "page": "ddst.ksample.test", "title": "Data Driven Smooth Test for k-Sample Problem", "topics": [ "ddst.ksample.test" ] }, { "page": "ddst.normbounded.test", "title": "Data Driven Smooth Test for Normality; Bounded Basis Functions", "topics": [ "ddst.norm.Nk", "ddst.normbounded.test" ] }, { "page": "ddst.normunbounded.test", "title": "Data Driven Smooth Test for Normality; Unbounded Basis Functions", "topics": [ "ddst.normubounded.test", "ddst.normunbounded.bias" ] }, { "page": "ddst.twosample.test", "title": "Data Driven Smooth Test for Two-Sample Problem", "topics": [ "ddst.twosample.test" ] }, { "page": "ddst.umbrellaknownp.test", "title": "Data Driven Smooth Test for Umbrella Alternatives; Known Peak", "topics": [ "ddst.umbrellaknownp.test" ] }, { "page": "ddst.umbrellaunknownp.test", "title": "Data Driven Smooth Test for Umbrella Alternatives; Unknown Peak", "topics": [ "ddst.umbrellaunknownp.test" ] }, { "page": "ddst.uniform.test", "title": "Data Driven Smooth Test for Uniformity", "topics": [ "ddst.uniform.Nk", "ddst.uniform.test" ] }, { "page": "ddst.upwardtrend.test", "title": "Data Driven Smooth Test for Upward Trend Alternatives", "topics": [ "ddst.upwardtrend.test" ] }, { "page": "plot.ddst.test", "title": "Plot Function fo Data Driven Tests", "topics": [ "plot.ddst.test" ] } ], "_readme": "https://github.com/pbiecek/ddst/raw/HEAD/README.md", "_rundeps": [ "cli", "cpp11", "evd", "farver", "ggplot2", "glue", "gtable", "isoband", "labeling", "lifecycle", "orthopolynom", "polynom", "R6", "RColorBrewer", "rlang", "S7", "scales", "vctrs", "viridisLite", "withr" ], "_vignettes": [ { "source": "examples_all.Rmd", "filename": "examples_all.html", "title": "Examples for ddst package", "author": "Przemyslaw Biecek", "engine": "knitr::rmarkdown", "headings": [ "Data Driven Smooth Tests with ddst package", "II. Data Driven Smooth Tests for Selected Goodness-of-Fit Problems", "1. Data Driven Smooth Test for Uniformity", "2. Data Driven Smooth Test for Exponentiality", "3. Data Driven Smooth Tests for Normality", "3.1. Bounded Basis Functions", "3.2. Unbounded Basis Functions", "4. Data Driven Smooth Test for Extreme Value Distribution", "III. Nonparametric Data Driven Smooth Tests for Comparing Distributions", "5. Data Driven Smooth Test for k-Sample Problem", "6. Data Driven Test for Stochastic Ordering", "7. Two-Sample Test Against Stochastic Dominance", "8. Data Driven Smooth Test for Upward Trend Alternative in k samples", "9. 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