{ "_id": "6ac4df6ef511ae58c09a289a", "Package": "STATassist", "Title": "Standardised Statistical Comparison Workflows", "Version": "1.1.0", "Authors@R": "person(\"Wonseok\", \"Oh\", , \"hiows97@gmail.com\", role = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0009-0002-0687-8466\"))", "Description": "Runs the applicable tests for a comparison in one call and\nreturns standardised result tables. One-sample, two-group,\nmulti-group, factorial and categorical workflows report\nparametric, rank-based and robust results side by side with\neffect sizes, confidence intervals and multiplicity-adjusted\np-values. Supervised fits, embeddings, clustering and\nsimulators follow the same result contracts. Methods include\nthose of Welch (1947) , Wilcoxon\n(1945) , Mann and Whitney (1947)\n, Kruskal and Wallis (1952)\n, Friedman (1937)\n, Tukey (1949)\n, Dunn (1964)\n, Yuen (1974)\n, Brunner and Munzel (2000)\n,\nAlgina, Keselman and Penfield (2005)\n, DeLong, DeLong and\nClarke-Pearson (1988) , Sun and Xu (2014)\n, Pencina, D'Agostino, D'Agostino\nand Vasan (2008) , and Pencina,\nD'Agostino and Steyerberg (2011) .", "License": "MIT + file LICENSE", "URL": "https://github.com/hiows/STATassist", "BugReports": "https://github.com/hiows/STATassist/issues", "Encoding": "UTF-8", "Config/testthat/edition": "3", "Roxygen": "list(markdown = TRUE)", "Config/roxygen2/version": "8.0.0", "Config/pak/sysreqs": "libicu-dev libpng-dev libssl-dev python3", "Repository": "https://hiows.r-universe.dev", "Date/Publication": "2026-08-25 11:57:27 UTC", "RemoteUrl": "https://github.com/hiows/statassist", "RemoteRef": "HEAD", "RemoteSha": "a1a7ef09e45103a67a67d01229aadc3ae9d62523", "NeedsCompilation": "no", "Packaged": { "Date": "2026-10-06 11:40:58 UTC", "User": "root" }, "Author": "Wonseok Oh [aut, cre] (ORCID: )", "Maintainer": "Wonseok Oh ", "_user": "hiows", "_type": "src", "_file": "STATassist_1.1.0.tar.gz", "_fileid": "https://r2.ropensci.org/1f121687410c0a37010a588cac3758fa01d03d864d752030633b7f44f940ae91", "_filesize": 1856607, "_sha256": "1f121687410c0a37010a588cac3758fa01d03d864d752030633b7f44f940ae91", "_expires": "2027-01-14T11:45:48.000Z", "_created": "2026-10-06T11:40:58.000Z", "_published": "2026-10-06T11:45:50.070Z", "_jobs": [ { "job": 112250584261, "time": 228, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "11410976967" }, { "job": 112250584136, "time": 195, "config": "linux-release-x86_64", "r": "4.6.1", "check": "OK", "artifact": "11410597142" }, { "job": 112250584019, "time": 174, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "OK", "artifact": "11411041657" }, { "job": 112250583975, "time": 195, "config": "macos-release-arm64", "r": "4.6.1", "check": "OK", "artifact": "11410946968" }, { "job": 112248973000, "time": 258, "config": "source", "r": "4.6.1", "check": "OK", "artifact": "11410436582" }, { "job": 112250583935, "time": 110, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "11410641773" }, { "job": 112250584141, "time": 199, "config": "windows-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "11410217003" }, { "job": 112250584208, "time": 202, "config": "windows-oldrel-x86_64", "r": "4.5.3", "check": "OK", "artifact": "11410422361" }, { "job": 112250584216, "time": 207, "config": "windows-release-x86_64", "r": "4.6.1", "check": "OK", "artifact": "11410417419" } ], "_host": "GitHub-Actions", "_buildurl": "https://github.com/r-universe/hiows/actions/runs/37457573041", "_status": "success", "_upstream": "https://github.com/hiows/statassist", "_commit": { "id": "a1a7ef09e45103a67a67d01229aadc3ae9d62523", "author": "hiows <125277369+hiows@users.noreply.github.com>", "committer": "hiows <125277369+hiows@users.noreply.github.com>", "message": "Release 1.1.0: term verdicts use log2_effect and magnitude volcano.\r\n\r\nCo-authored-by: Cursor \r\n\r\nSource-commit: dab8788\r\n", "time": 1787659047 }, "_maintainer": { "name": "Wonseok Oh", "email": "hiows97@gmail.com", "orcid": "0009-0002-0687-8466" }, "_distro": "resolute", "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 4.1.0", "role": "Depends" }, { "package": "caret", "role": "Imports" }, { "package": "dbscan", "role": "Imports" }, { "package": "glmnet", "role": "Imports" }, { "package": "grDevices", "role": "Imports" }, { "package": "graphics", "role": "Imports" }, { "package": "kernlab", "role": "Imports" }, { "package": "randomForest", "role": "Imports" }, { "package": "Rtsne", "role": "Imports" }, { "package": "stats", "role": "Imports" }, { "package": "umap", "role": "Imports" }, { "package": "utils", "role": "Imports" }, { "package": "jsonlite", "role": "Suggests" }, { "package": "pROC", "role": "Suggests" }, { "package": "testthat", "version": ">= 3.0.0", "role": "Suggests" }, { "package": "withr", "role": "Suggests" } ], "_owner": "hiows", "_selfowned": true, "_usedby": 0, "_updates": [ { "week": "2026-31", "n": 12 }, { "week": "2026-32", "n": 13 }, { "week": "2026-33", "n": 3 }, { "week": "2026-34", "n": 2 }, { "week": "2026-35", "n": 3 } ], "_tags": [ { "name": "v0.0.1", "date": "2026-07-31" }, { "name": "v0.1.0", "date": "2026-08-01" }, { "name": "v0.2.0", "date": "2026-08-04" }, { "name": "v0.6.0", "date": "2026-08-09" }, { "name": "v0.7.0", "date": "2026-08-10" }, { "name": "v1.0.0", "date": "2026-08-16" }, { "name": "v1.0.1", "date": "2026-08-25" }, { "name": "v1.1.0", "date": "2026-08-25" } ], "_stars": 3, "_contributors": [ { "user": "hiows", "count": 32, "uuid": 125277369 } ], "_userbio": { "uuid": 125277369, "type": "user", "name": "hiows", "followers": 1 }, "_downloads": { "count": 394, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/STATassist" }, "_devurl": "https://github.com/hiows/statassist", "_searchresults": 0, "_rbuild": "4.6.1", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/manual.pdf", "extra/NEWS.html", "extra/NEWS.txt", "extra/readme.html", "extra/readme.md", "extra/STATassist.html", "LICENSE" ], "_homeurl": "https://github.com/hiows/statassist", "_realowner": "hiows", "_cranurl": true, "_releases": [ { "version": "1.0.0", "date": "2026-09-08" } ], "_exports": [ "center_by_control", "cluster_dbscan", "cluster_hclust", "cluster_kmeans", "cluster_snn", "compare_categorical_groups", "compare_factorial_groups", "compare_multiple_groups", "compare_one_sample", "compare_two_groups", "diagnose_distribution", "draw_butterfly_hist", "draw_corrplot", "draw_dim_reduction_plot", "draw_forest_plot", "draw_grouped_barplot", "draw_grouped_boxplot", "draw_heatmap", "draw_interaction_plot", "draw_mosaic_plot", "draw_prediction_plot", "draw_roc_curve", "draw_volcano_plot", "estimate_categorical_significance", "estimate_significance", "evaluate_classification_models", "evaluate_regression_models", "fit_elastic_net", "fit_linear_regression", "fit_logistic_regression", "fit_rf", "fit_svm", "make_block_cor", "perform_pca", "perform_rfe", "perform_stepwise", "perform_tsne", "perform_umap", "screen_outliers", "simulate_categorical_groups", "simulate_classification", "simulate_factorial_groups", "simulate_multiple_groups", "simulate_regression", "simulate_two_groups", "split_data", "summarize_association_stats", "summarize_descriptive_stats" ], "_help": [ { "page": "as.table.sa_categorical", "title": "The contingency table a categorical comparison was run on", "topics": [ "as.table.sa_categorical" ] }, { "page": "center_by_control", "title": "Centre every feature on the control group", "topics": [ "center_by_control" ] }, { "page": "cluster_dbscan", "title": "Cluster by finding the dense regions", "topics": [ "cluster_dbscan" ] }, { "page": "cluster_hclust", "title": "Cluster by building a tree and cutting it", "topics": [ "cluster_hclust" ] }, { "page": "cluster_kmeans", "title": "Cluster by moving centres until they stop", "topics": [ "cluster_kmeans" ] }, { "page": "cluster_snn", "title": "Cluster by how many neighbours points have in common", "topics": [ "cluster_snn" ] }, { "page": "sa_fit-methods", "title": "Coefficients, summary and predictions from the model inside a fit", "topics": [ "coef.sa_fit", "predict.sa_fit", "summary.sa_fit" ] }, { "page": "coef.sa_model", "title": "Coefficients of a fitted model", "topics": [ "coef.sa_model" ] }, { "page": "compare_categorical_groups", "title": "Test a contingency table with every applicable test at once", "topics": [ "compare_categorical_groups" ] }, { "page": "compare_factorial_groups", "title": "Analyse a crossed-factor design as one model", "topics": [ "compare_factorial_groups" ] }, { "page": "compare_multiple_groups", "title": "Run every applicable multi-group test at once", "topics": [ "compare_multiple_groups" ] }, { "page": "compare_one_sample", "title": "Compare one sample against a hypothesised value", "topics": [ "compare_one_sample" ] }, { "page": "compare_two_groups", "title": "Run every applicable two-group test at once", "topics": [ "compare_two_groups" ] }, { "page": "diagnose_distribution", "title": "Check the assumptions a comparison rests on", "topics": [ "diagnose_distribution" ] }, { "page": "draw_butterfly_hist", "title": "Draw a butterfly histogram of one feature across two groups", "topics": [ "draw_butterfly_hist" ] }, { "page": "draw_corrplot", "title": "Draw a correlation matrix, with the cells that failed the test left blank", "topics": [ "draw_corrplot" ] }, { "page": "draw_dim_reduction_plot", "title": "Draw a reduction as a scatter of its points", "topics": [ "draw_dim_reduction_plot", "plot.sa_reduction" ] }, { "page": "draw_forest_plot", "title": "Draw a forest plot of a comparison result", "topics": [ "draw_forest_plot", "plot.sa_comparison" ] }, { "page": "draw_grouped_barplot", "title": "Draw a grouped barplot of a descriptive summary", "topics": [ "draw_grouped_barplot" ] }, { "page": "draw_grouped_boxplot", "title": "Draw a grouped boxplot across several features", "topics": [ "draw_grouped_boxplot" ] }, { "page": "draw_heatmap", "title": "Draw a clustered heatmap of features by samples", "topics": [ "draw_heatmap" ] }, { "page": "draw_interaction_plot", "title": "Draw an interaction plot of a factorial comparison", "topics": [ "draw_interaction_plot" ] }, { "page": "draw_mosaic_plot", "title": "Draw a mosaic plot of a contingency table", "topics": [ "draw_mosaic_plot", "plot.sa_categorical" ] }, { "page": "draw_prediction_plot", "title": "Draw predicted against observed for an evaluated regression", "topics": [ "draw_prediction_plot" ] }, { "page": "draw_roc_curve", "title": "Draw the ROC curves of an evaluated classification", "topics": [ "draw_roc_curve" ] }, { "page": "draw_volcano_plot", "title": "Draw a volcano plot", "topics": [ "draw_volcano_plot" ] }, { "page": "estimate_categorical_significance", "title": "Reduce a contingency table to significance verdicts", "topics": [ "estimate_categorical_significance" ] }, { "page": "estimate_significance", "title": "Reduce a comparison to one significance verdict per feature", "topics": [ "estimate_significance" ] }, { "page": "evaluate_classification_models", "title": "Score fitted classifications on held-out rows", "topics": [ "evaluate_classification_models" ] }, { "page": "evaluate_regression_models", "title": "Score fitted regressions on held-out rows", "topics": [ "evaluate_regression_models" ] }, { "page": "fit_elastic_net", "title": "Fit an elastic net, lasso or ridge regression", "topics": [ "fit_elastic_net" ] }, { "page": "fit_linear_regression", "title": "Fit a linear regression", "topics": [ "fit_linear_regression" ] }, { "page": "fit_logistic_regression", "title": "Fit a logistic regression", "topics": [ "fit_logistic_regression" ] }, { "page": "fit_rf", "title": "Fit a random forest", "topics": [ "fit_rf" ] }, { "page": "fit_svm", "title": "Fit a support vector machine", "topics": [ "fit_svm" ] }, { "page": "make_block_cor", "title": "Build a block correlation matrix", "topics": [ "make_block_cor" ] }, { "page": "perform_pca", "title": "Reduce many features to a few components", "topics": [ "perform_pca" ] }, { "page": "perform_rfe", "title": "Select the predictors worth keeping", "topics": [ "perform_rfe" ] }, { "page": "perform_stepwise", "title": "Stepwise feature selection by information criteria", "topics": [ "perform_stepwise" ] }, { "page": "perform_tsne", "title": "Embed samples or features with t-SNE", "topics": [ "perform_tsne" ] }, { "page": "perform_umap", "title": "Embed samples or features with UMAP", "topics": [ "perform_umap" ] }, { "page": "plot.sa_performance", "title": "Draw an evaluation result", "topics": [ "plot.sa_performance" ] }, { "page": "predict.sa_model", "title": "Predict from a fitted model on rows it was not fitted to", "topics": [ "predict.sa_model" ] }, { "page": "print.sa_categorical", "title": "Print a categorical comparison", "topics": [ "print.sa_categorical" ] }, { "page": "print.sa_categorical_significance", "title": "Print a categorical significance verdict", "topics": [ "print.sa_categorical_significance" ] }, { "page": "print.sa_cluster", "title": "Print a clustering", "topics": [ "print.sa_cluster" ] }, { "page": "print.sa_comparison", "title": "Print a comparison result", "topics": [ "print.sa_comparison" ] }, { "page": "print.sa_diagnosis", "title": "Print a distribution diagnosis", "topics": [ "print.sa_diagnosis" ] }, { "page": "print.sa_model", "title": "Print a fitted model", "topics": [ "print.sa_model" ] }, { "page": "print.sa_performance", "title": "Print an evaluation result", "topics": [ "print.sa_performance" ] }, { "page": "print.sa_reduction", "title": "Print a dimensionality reduction", "topics": [ "print.sa_reduction" ] }, { "page": "print.sa_selection", "title": "Print a feature selection", "topics": [ "print.sa_selection" ] }, { "page": "print.sa_significance", "title": "Print a significance verdict", "topics": [ "print.sa_significance" ] }, { "page": "print.sa_split", "title": "Print a train/test split", "topics": [ "print.sa_split" ] }, { "page": "screen_outliers", "title": "Flag candidate outliers without removing them", "topics": [ "screen_outliers" ] }, { "page": "simulate_categorical_groups", "title": "Simulate a contingency table whose association is known", "topics": [ "simulate_categorical_groups" ] }, { "page": "simulate_classification", "title": "Simulate a two-class outcome whose coefficients are known", "topics": [ "simulate_classification" ] }, { "page": "simulate_factorial_groups", "title": "Simulate a crossed-factor experiment whose answer is known", "topics": [ "simulate_factorial_groups" ] }, { "page": "simulate_multiple_groups", "title": "Simulate a control-versus-treatments experiment whose answer is known", "topics": [ "simulate_multiple_groups" ] }, { "page": "simulate_regression", "title": "Simulate a regression whose coefficients are known", "topics": [ "simulate_regression" ] }, { "page": "simulate_two_groups", "title": "Simulate a two-group experiment whose answer is known", "topics": [ "simulate_two_groups" ] }, { "page": "split_data", "title": "Split data into training and test sets", "topics": [ "split_data" ] }, { "page": "summarize_association_stats", "title": "Correlation between every pair of features, with all three coefficients", "topics": [ "summarize_association_stats" ] }, { "page": "summarize_descriptive_stats", "title": "Descriptive summary of several features, optionally split by group", "topics": [ "summarize_descriptive_stats" ] } ], "_readme": "https://github.com/hiows/statassist/raw/HEAD/README.md", "_rundeps": [ "askpass", "caret", "class", "cli", "clock", "codetools", "cpp11", "data.table", "dbscan", "diagram", "digest", "dplyr", "e1071", "farver", "foreach", "future", "future.apply", "generics", "ggplot2", "glmnet", "globals", "glue", "gower", "gtable", "hardhat", "here", "ipred", "isoband", "iterators", "jsonlite", "kernlab", "KernSmooth", "labeling", "lattice", "lava", "lifecycle", "listenv", "lubridate", "magrittr", "MASS", "Matrix", "ModelMetrics", "nlme", "nnet", "numDeriv", "openssl", "parallelly", "pillar", "pkgconfig", "plyr", "png", "pROC", "prodlim", "progressr", "proxy", "purrr", "R6", "randomForest", "rappdirs", "RColorBrewer", "Rcpp", "RcppEigen", "RcppTOML", "recipes", "reshape2", "reticulate", "rlang", "rpart", "rprojroot", "RSpectra", "Rtsne", "S7", "scales", "shape", "sparsevctrs", "SQUAREM", "stringi", "stringr", "survival", "sys", "tibble", "tidyr", "tidyselect", "timechange", "timeDate", "tzdb", "umap", "utf8", "vctrs", "viridisLite", "withr" ], "_score": 3.8750612633917, "_indexed": true, "_nocasepkg": "statassist", "_universes": [ "hiows" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "1.1.0", "date": "2026-10-06T11:43:50.000Z", "distro": "resolute", "commit": "a1a7ef09e45103a67a67d01229aadc3ae9d62523", "fileid": "https://r2.ropensci.org/73e8080154e3115de4f46ecffd220c1d8274aabe8fb157aa5fdc8181392e4eec", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/hiows/actions/runs/37457573041" }, { "r": "4.6.1", "os": "linux", "version": "1.1.0", "date": "2026-10-06T11:43:36.000Z", "distro": "resolute", "commit": "a1a7ef09e45103a67a67d01229aadc3ae9d62523", "fileid": "https://r2.ropensci.org/370058ceff03e93e2d0033c5a16c26342322b91a98d073a975760d469f4947ab", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/hiows/actions/runs/37457573041" }, { "r": "4.5.3", "os": "mac", "version": "1.1.0", "date": "2026-10-06T11:43:13.000Z", "commit": "a1a7ef09e45103a67a67d01229aadc3ae9d62523", "fileid": "https://r2.ropensci.org/22d22bedff90301ea8e278cc2e13848cb71b8bb22cebbcbb12cca1112f3d06c2", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/hiows/actions/runs/37457573041" }, { "r": "4.6.1", "os": "mac", "version": "1.1.0", "date": "2026-10-06T11:43:22.000Z", "commit": "a1a7ef09e45103a67a67d01229aadc3ae9d62523", "fileid": "https://r2.ropensci.org/b6a0d13a2efd0d4c100523e16e4d4225409211e0ba67f6025d04632744071a2a", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/hiows/actions/runs/37457573041" }, { "r": "4.6.0", "os": "wasm", "version": "1.1.0", "date": "2026-10-06T11:43:25.000Z", "commit": "a1a7ef09e45103a67a67d01229aadc3ae9d62523", "fileid": "https://r2.ropensci.org/54d433b627194acbcea042da1f5f41dc1ce0718ce79651acbfb67aaf89f02154", "status": "success", "buildurl": "https://github.com/r-universe/hiows/actions/runs/37457573041" }, { "r": "4.7.0", "os": "win", "version": "1.1.0", "date": "2026-10-06T11:42:28.000Z", "commit": "a1a7ef09e45103a67a67d01229aadc3ae9d62523", "fileid": "https://r2.ropensci.org/3642913b7bf866488d034f7fd64ead9242b1b264af5395ebc6af573f21558db3", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/hiows/actions/runs/37457573041" }, { "r": "4.5.3", "os": "win", "version": "1.1.0", "date": "2026-10-06T11:42:40.000Z", "commit": "a1a7ef09e45103a67a67d01229aadc3ae9d62523", "fileid": "https://r2.ropensci.org/7f1a45465403e5e6cab218d8b503051f46eccc49af0770ecbc54a7a61c44163d", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/hiows/actions/runs/37457573041" }, { "r": "4.6.1", "os": "win", "version": "1.1.0", "date": "2026-10-06T11:42:35.000Z", "commit": "a1a7ef09e45103a67a67d01229aadc3ae9d62523", "fileid": "https://r2.ropensci.org/2df2bd8bb6b250a984b6b7f1af6b7d52d5eccd721053d576e966fb2d44a354b9", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/hiows/actions/runs/37457573041" } ] }