{ "_id": "6a1d69c91d7bb097a0a4efa4", "Type": "Package", "Package": "performance", "Title": "Assessment of Regression Models Performance", "Version": "0.17.0.3", "Authors@R": "c(person(given = \"Daniel\",\nfamily = \"Lüdecke\",\nrole = c(\"aut\", \"cre\"),\nemail = \"officialeasystats@gmail.com\",\ncomment = c(ORCID = \"0000-0002-8895-3206\")),\nperson(given = \"Dominique\",\nfamily = \"Makowski\",\nrole = c(\"aut\", \"ctb\"),\nemail = \"dom.makowski@gmail.com\",\ncomment = c(ORCID = \"0000-0001-5375-9967\")),\nperson(given = \"Mattan S.\",\nfamily = \"Ben-Shachar\",\nrole = c(\"aut\", \"ctb\"),\nemail = \"matanshm@post.bgu.ac.il\",\ncomment = c(ORCID = \"0000-0002-4287-4801\")),\nperson(given = \"Indrajeet\",\nfamily = \"Patil\",\nrole = c(\"aut\", \"ctb\"),\nemail = \"patilindrajeet.science@gmail.com\",\ncomment = c(ORCID = \"0000-0003-1995-6531\")),\nperson(given = \"Philip\",\nfamily = \"Waggoner\",\nrole = c(\"aut\", \"ctb\"),\nemail = \"philip.waggoner@gmail.com\",\ncomment = c(ORCID = \"0000-0002-7825-7573\")),\nperson(given = \"Brenton M.\",\nfamily = \"Wiernik\",\nrole = c(\"aut\", \"ctb\"),\nemail = \"brenton@wiernik.org\",\ncomment = c(ORCID = \"0000-0001-9560-6336\")),\nperson(given = \"Rémi\",\nfamily = \"Thériault\",\nrole = c(\"aut\", \"ctb\"),\nemail = \"remi.theriault@mail.mcgill.ca\",\ncomment = c(ORCID = \"0000-0003-4315-6788\")),\nperson(given = \"Vincent\",\nfamily = \"Arel-Bundock\",\nemail = \"vincent.arel-bundock@umontreal.ca\",\nrole = \"ctb\",\ncomment = c(ORCID = \"0000-0003-2042-7063\")),\nperson(given = \"Martin\",\nfamily = \"Jullum\",\nrole = \"rev\"),\nperson(given = \"gjo11\",\nrole = \"rev\"),\nperson(given = \"Etienne\",\nfamily = \"Bacher\",\nemail = \"etienne.bacher@protonmail.com\",\nrole = \"ctb\",\ncomment = c(ORCID = \"0000-0002-9271-5075\")),\nperson(given = \"Joseph\",\nfamily = \"Luchman\",\nrole = \"ctb\",\ncomment = c(ORCID = \"0000-0002-8886-9717\")))", "Maintainer": "Daniel Lüdecke ", "Description": "Utilities for computing measures to assess model quality,\nwhich are not directly provided by R's 'base' or 'stats'\npackages. These include e.g. measures like r-squared,\nintraclass correlation coefficient (Nakagawa, Johnson &\nSchielzeth (2017) ), root mean\nsquared error or functions to check models for overdispersion,\nsingularity or zero-inflation and more. Functions apply to a\nlarge variety of regression models, including generalized\nlinear models, mixed effects models and Bayesian models.\nReferences: Lüdecke et al. (2021) .", "License": "GPL-3", "URL": "https://easystats.github.io/performance/", "BugReports": "https://github.com/easystats/performance/issues", "Encoding": "UTF-8", "Language": "en-US", "Roxygen": "list(markdown = TRUE)", "Config/testthat/edition": "3", "Config/testthat/parallel": "false", "Config/Needs/website": "rstudio/bslib, r-lib/pkgdown,\neasystats/easystatstemplate", "Config/rcmdcheck/ignore-inconsequential-notes": "true", "Config/roxygen2/version": "8.0.0", "Repository": "https://easystats.r-universe.dev", "Date/Publication": "2026-06-01 05:50:05 UTC", "RemoteUrl": "https://github.com/easystats/performance", "RemoteRef": "HEAD", "RemoteSha": "ea125b04e57b41edeccadfbe63c32fe6654f1071", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-01 10:54:36 UTC", "User": "root" }, "Author": "Daniel Lüdecke [aut, cre] (ORCID:\n),\nDominique Makowski [aut, ctb] (ORCID:\n),\nMattan S. Ben-Shachar [aut, ctb] (ORCID:\n),\nIndrajeet Patil [aut, ctb] (ORCID:\n),\nPhilip Waggoner [aut, ctb] (ORCID:\n),\nBrenton M. Wiernik [aut, ctb] (ORCID:\n),\nRémi Thériault [aut, ctb] (ORCID:\n),\nVincent Arel-Bundock [ctb] (ORCID:\n),\nMartin Jullum [rev],\ngjo11 [rev],\nEtienne Bacher [ctb] (ORCID: ),\nJoseph Luchman [ctb] (ORCID: )", "MD5sum": "d11cb6683f5e30248e053c176d0dd10e", "_user": "easystats", "_type": "src", "_file": "performance_0.17.0.3.tar.gz", "_fileid": "3d72ba5599c035371b18500b219b540bbdaa54ece2122f6966d9464b67bedb72", "_filesize": 2474480, "_sha256": "3d72ba5599c035371b18500b219b540bbdaa54ece2122f6966d9464b67bedb72", "_created": "2026-06-01T10:54:36.000Z", "_published": "2026-06-01T11:15:21.343Z", "_distro": "noble", "_jobs": [ { "job": 78837502328, "time": 457, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "WARNING", "artifact": "7329802294" }, { "job": 78837502337, "time": 284, "config": "linux-release-x86_64", "r": "4.6.0", "check": "WARNING", "artifact": "7329749176" }, { "job": 78837502377, "time": 169, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "WARNING", "artifact": "7329999833" }, { "job": 78837502406, "time": 161, "config": "macos-release-arm64", "r": "4.6.0", "check": "WARNING", "artifact": "7329998824" }, { "job": 78836438108, "time": 404, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "7329658316" }, { "job": 78837502360, "time": 202, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7329724418" }, { "job": 78837502376, "time": 279, "config": "windows-devel", "r": "4.7.0", "check": "WARNING", "artifact": "7329747788" }, { "job": 78837502379, "time": 247, "config": "windows-oldrel", "r": "4.5.3", "check": "WARNING", "artifact": "7329738181" }, { "job": 78837502367, "time": 287, "config": "windows-release", "r": "4.6.0", "check": "WARNING", "artifact": "7329750096" } ], "_buildurl": "https://github.com/r-universe/easystats/actions/runs/26750335585", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/easystats/performance", "_commit": { "id": "ea125b04e57b41edeccadfbe63c32fe6654f1071", "author": "github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>", "committer": "GitHub ", "message": "Update `DESCRIPTION` to use latest 'easystats' dependencies (#914)\n\nCo-authored-by: IndrajeetPatil <11330453+IndrajeetPatil@users.noreply.github.com>", "time": 1780293005 }, "_maintainer": { "name": "Daniel Lüdecke", "email": "officialeasystats@gmail.com", "orcid": "0000-0002-8895-3206" }, "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 4.0", "role": "Depends" }, { "package": "bayestestR", "version": ">= 0.18.1", "role": "Imports" }, { "package": "insight", "version": ">= 1.5.1", "role": "Imports" }, { "package": "datawizard", "version": ">= 1.3.1", "role": "Imports" }, { "package": "stats", "role": "Imports" }, { "package": "methods", "role": "Imports" }, { "package": "utils", "role": "Imports" }, { "package": "AER", "role": "Suggests" }, { "package": "afex", "role": "Suggests" }, { "package": "BayesFactor", "role": "Suggests" }, { "package": "bayesplot", "role": "Suggests" }, { "package": "betareg", "role": "Suggests" }, { "package": "bigutilsr", "role": "Suggests" }, { "package": "blavaan", "role": "Suggests" }, { "package": "boot", "role": "Suggests" }, { "package": "brms", "role": "Suggests" }, { "package": "car", "role": "Suggests" }, { "package": "carData", "role": "Suggests" }, { "package": "CompQuadForm", "role": "Suggests" }, { "package": "correlation", "version": ">= 0.8.8", "role": "Suggests" }, { "package": "cplm", "role": "Suggests" }, { "package": "curl", "role": "Suggests" }, { "package": "dagitty", "role": "Suggests" }, { "package": "dbscan", "role": "Suggests" }, { "package": "DHARMa", "version": ">= 0.4.7", "role": "Suggests" }, { "package": "discovr", "role": "Suggests" }, { "package": "estimatr", "role": "Suggests" }, { "package": "fixest", "role": "Suggests" }, { "package": "flextable", "role": "Suggests" }, { "package": "forecast", "role": "Suggests" }, { "package": "ftExtra", "role": "Suggests" }, { "package": "gamm4", "role": "Suggests" }, { "package": "ggdag", "role": "Suggests" }, { "package": "glmmTMB", "version": ">= 1.1.12", "role": "Suggests" }, { "package": "GPArotation", "role": "Suggests" }, { "package": "graphics", "role": "Suggests" }, { "package": "Hmisc", "role": "Suggests" }, { "package": "httr2", "role": "Suggests" }, { "package": "ICS", "role": "Suggests" }, { "package": "ICSOutlier", "role": "Suggests" }, { "package": "ISLR", "role": "Suggests" }, { "package": "ivreg", "role": "Suggests" }, { "package": "lavaan", "role": "Suggests" }, { "package": "lme4", "role": "Suggests" }, { "package": "lmtest", "role": "Suggests" }, { "package": "loo", "role": "Suggests" }, { "package": "MASS", "role": "Suggests" }, { "package": "Matrix", "role": "Suggests" }, { "package": "mclogit", "role": "Suggests" }, { "package": "mclust", "role": "Suggests" }, { "package": "metadat", "role": "Suggests" }, { "package": "metafor", "role": "Suggests" }, { "package": "mgcv", "role": "Suggests" }, { "package": "mlogit", "role": "Suggests" }, { "package": "modelbased", "version": ">= 0.12.0", "role": "Suggests" }, { "package": "multimode", "role": "Suggests" }, { "package": "nestedLogit", "role": "Suggests" }, { "package": "nlme", "role": "Suggests" }, { "package": "nnet", "role": "Suggests" }, { "package": "nonnest2", "role": "Suggests" }, { "package": "ordinal", "role": "Suggests" }, { "package": "parallel", "role": "Suggests" }, { "package": "parameters", "version": ">= 0.28.0", "role": "Suggests" }, { "package": "patchwork", "role": "Suggests" }, { "package": "pscl", "role": "Suggests" }, { "package": "psych", "role": "Suggests" }, { "package": "psychTools", "role": "Suggests" }, { "package": "quantreg", "role": "Suggests" }, { "package": "qqplotr", "version": ">= 0.0.6", "role": "Suggests" }, { "package": "randomForest", "role": "Suggests" }, { "package": "RcppEigen", "role": "Suggests" }, { "package": "reformulas", "role": "Suggests" }, { "package": "rempsyc", "role": "Suggests" }, { "package": "rmarkdown", "role": "Suggests" }, { "package": "rstanarm", "role": "Suggests" }, { "package": "rstantools", "role": "Suggests" }, { "package": "sandwich", "role": "Suggests" }, { "package": "see", "version": ">= 0.13.0", "role": "Suggests" }, { "package": "survey", "role": "Suggests" }, { "package": "survival", "role": "Suggests" }, { "package": "testthat", "version": ">= 3.2.1", "role": "Suggests" }, { "package": "tweedie", "role": "Suggests" }, { "package": "VGAM", "role": "Suggests" }, { "package": "withr", "version": ">= 3.0.0", "role": "Suggests" } ], "_owner": "easystats", "_selfowned": true, "_usedby": 58, "_updates": [ { "week": "2025-22", "n": 2 }, { "week": "2025-25", "n": 5 }, { "week": "2025-26", "n": 3 }, { "week": "2025-27", "n": 4 }, { "week": "2025-28", "n": 2 }, { "week": "2025-30", "n": 1 }, { "week": "2025-31", "n": 1 }, { "week": "2025-33", "n": 1 }, { "week": "2025-34", "n": 1 }, { "week": "2025-35", "n": 4 }, { "week": "2025-40", "n": 1 }, { "week": "2025-41", "n": 5 }, { "week": "2025-42", "n": 1 }, { "week": "2025-43", "n": 1 }, { "week": "2025-46", "n": 5 }, { "week": "2025-48", "n": 2 }, { "week": "2025-49", "n": 3 }, { "week": "2026-02", "n": 1 }, { "week": "2026-04", "n": 1 }, { "week": "2026-05", "n": 12 }, { "week": "2026-06", "n": 2 }, { "week": "2026-08", "n": 1 }, { "week": "2026-10", "n": 1 }, { "week": "2026-17", "n": 3 }, { "week": "2026-18", "n": 5 }, { "week": "2026-19", "n": 1 }, { "week": "2026-21", "n": 8 }, { "week": "2026-22", "n": 4 }, { "week": "2026-23", "n": 1 } ], "_tags": [ { "name": "v0.15.0", "date": "2025-07-10" }, { "name": "v0.15.1", "date": "2025-08-30" }, { "name": "v0.15.2", "date": "2025-10-06" }, { "name": "v0.15.3", "date": "2025-12-01" }, { "name": "v0.16.0", "date": "2026-02-04" }, { "name": "v0.17.0", "date": "2026-05-22" } ], "_topics": [ "aic", "easystats", "hacktoberfest", "loo", "machine-learning", "mixed-models", "models", "performance", "r2", "statistics" ], "_stars": 1141, "_contributors": [ { "user": "strengejacke", "count": 1863, "uuid": 26301769 }, { "user": "indrajeetpatil", "count": 239, "uuid": 11330453 }, { "user": "dominiquemakowski", "count": 156, "uuid": 8875533 }, { "user": "mattansb", "count": 79, "uuid": 35330040 }, { "user": "bwiernik", "count": 57, "uuid": 4773225 }, { "user": "rempsyc", "count": 45, "uuid": 13123390 }, { "user": "vincentarelbundock", "count": 11, "uuid": 987057 }, { "user": "etiennebacher", "count": 9, "uuid": 52219252 }, { "user": "pdwaggoner", "count": 8, "uuid": 31326382 }, { "user": "jmgirard", "count": 4, "uuid": 6829033 }, { "user": "copilot", "count": 3, "uuid": 198982749 }, { "user": "anamasgard", "count": 2, "uuid": 137998824 }, { "user": "bbolker", "count": 1, "uuid": 78918 }, { "user": "andthewings", "count": 1, "uuid": 5892089 }, { "user": "egouldo", "count": 1, "uuid": 8400682 }, { "user": "jluchman", "count": 1, "uuid": 21278159 }, { "user": "krassowski", "count": 1, "uuid": 5832902 }, { "user": "mcanouil", "count": 1, "uuid": 8896044 }, { "user": "pablobernabeu", "count": 1, "uuid": 20436359 } ], "_userbio": { "uuid": 47102598, "type": "organization", "name": "easystats", "description": "Make R stats easy!" }, "_downloads": { "count": 121212, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/performance" }, "_mentions": 17, "_devurl": "https://github.com/easystats/performance", "_pkgdown": "https://easystats.github.io/performance/", "_searchresults": 7440, "_rbuild": "4.6.0", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/NEWS.html", "extra/NEWS.txt", "extra/performance.html", "extra/readme.html", "extra/readme.md", "manual.pdf" ], "_homeurl": "https://github.com/easystats/performance", "_realowner": "easystats", "_cranurl": true, "_releases": [ { "version": "0.1.0", "date": "2019-04-24" }, { "version": "0.2.0", "date": "2019-06-04" }, { "version": "0.3.0", "date": "2019-08-05" }, { "version": "0.4.0", "date": "2019-10-21" }, { "version": "0.4.2", "date": "2019-12-11" }, { "version": "0.4.3", "date": "2020-01-22" }, { "version": "0.4.4", "date": "2020-02-11" }, { "version": "0.4.5", "date": "2020-03-28" }, { "version": "0.4.6", "date": "2020-05-03" }, { "version": "0.4.7", "date": "2020-06-14" }, { "version": "0.4.8", "date": "2020-07-27" }, { "version": "0.5.0", "date": "2020-09-12" }, { "version": "0.5.1", "date": "2020-10-29" }, { "version": "0.6.0", "date": "2020-12-01" }, { "version": "0.6.1", "date": "2020-12-09" }, { "version": "0.7.0", "date": "2021-02-03" }, { "version": "0.7.1", "date": "2021-04-09" }, { "version": "0.7.2", "date": "2021-05-17" }, { "version": "0.7.3", "date": "2021-07-21" }, { "version": "0.8.0", "date": "2021-10-01" }, { "version": "0.9.0", "date": "2022-03-30" }, { "version": "0.9.1", "date": "2022-06-20" }, { "version": "0.9.2", "date": "2022-08-10" }, { "version": "0.10.0", "date": "2022-10-03" }, { "version": "0.10.1", "date": "2022-11-25" }, { "version": "0.10.2", "date": "2023-01-14" }, { "version": "0.10.3", "date": "2023-04-07" }, { "version": "0.10.4", "date": "2023-06-02" }, { "version": "0.10.5", "date": "2023-09-12" }, { "version": "0.10.7", "date": "2023-10-28" }, { "version": "0.10.8", "date": "2023-10-30" }, { "version": "0.10.9", "date": "2024-02-17" }, { "version": "0.11.0", "date": "2024-03-22" }, { "version": "0.12.0", "date": "2024-06-08" }, { "version": "0.12.1", "date": "2024-07-15" }, { "version": "0.12.2", "date": "2024-07-18" }, { "version": "0.12.3", "date": "2024-09-02" }, { "version": "0.12.4", "date": "2024-10-18" }, { "version": "0.13.0", "date": "2025-01-17" }, { "version": "0.14.0", "date": "2025-05-27" }, { "version": "0.15.0", "date": "2025-07-10" }, { "version": "0.15.1", "date": "2025-08-30" }, { "version": "0.15.2", "date": "2025-10-06" }, { "version": "0.15.3", "date": "2025-12-01" }, { "version": "0.16.0", "date": "2026-02-04" }, { "version": "0.17.0", "date": "2026-05-21" } ], "_exports": [ "as.dag", "binned_residuals", "check_autocorrelation", "check_clusterstructure", "check_collinearity", "check_concurvity", "check_convergence", "check_dag", "check_distribution", "check_factorstructure", "check_group_variation", "check_heterogeneity_bias", "check_heteroscedasticity", "check_heteroskedasticity", "check_homogeneity", "check_itemscale", "check_kmo", "check_model", "check_multimodal", "check_normality", "check_outliers", "check_overdispersion", "check_predictions", "check_residuals", "check_singularity", "check_sphericity", "check_sphericity_bartlett", "check_symmetry", "check_zeroinflation", "compare_performance", "cronbachs_alpha", "display", "icc", "item_alpha", "item_difficulty", "item_discrimination", "item_intercor", "item_omega", "item_reliability", "item_split_half", "item_totalcor", "looic", "mae", "model_performance", "mse", "multicollinearity", "performance", "performance_accuracy", "performance_aic", "performance_aicc", "performance_cv", "performance_dvour", "performance_hosmer", "performance_logloss", "performance_mae", "performance_mse", "performance_pcp", "performance_reliability", "performance_rmse", "performance_roc", "performance_rse", "performance_score", "print_html", "print_md", "r2", "r2_bayes", "r2_coxsnell", "r2_efron", "r2_ferrari", "r2_kullback", "r2_loo", "r2_loo_posterior", "r2_mcfadden", "r2_mckelvey", "r2_mlm", "r2_nagelkerke", "r2_nakagawa", "r2_posterior", "r2_somers", "r2_tjur", "r2_xu", "r2_zeroinflated", "rmse", "simulate_residuals", "test_bf", "test_likelihoodratio", "test_lrt", "test_performance", "test_vuong", "test_wald", "variance_decomposition" ], "_help": [ { "page": "binned_residuals", "title": "Binned residuals for binomial logistic regression", "topics": [ "binned_residuals" ] }, { "page": "check_autocorrelation", "title": "Check model for independence of residuals.", "concept": [ "functions to check model assumptions and and assess model quality" ], "topics": [ "check_autocorrelation", "check_autocorrelation.default", "check_autocorrelation.performance_simres" ] }, { "page": "check_clusterstructure", "title": "Check suitability of data for clustering", "topics": [ "check_clusterstructure" ] }, { "page": "check_collinearity", "title": "Check for multicollinearity of model terms", "concept": [ "functions to check model assumptions and and assess model quality" ], "topics": [ "check_collinearity", "check_collinearity.default", "check_collinearity.glmmTMB", "check_concurvity", "multicollinearity" ] }, { "page": "check_convergence", "title": "Convergence test for mixed effects models", "concept": [ "functions to check model assumptions and and assess model quality" ], "topics": [ "check_convergence" ] }, { "page": "check_dag", "title": "Check correct model adjustment for identifying causal effects", "topics": [ "as.dag", "check_dag" ] }, { "page": "check_distribution", "title": "Classify the distribution of a model-family using machine learning", "topics": [ "check_distribution" ] }, { "page": "check_factorstructure", "title": "Check suitability of data for Factor Analysis (FA) with Bartlett's Test of Sphericity and KMO", "topics": [ "check_factorstructure", "check_kmo", "check_sphericity_bartlett" ] }, { "page": "check_group_variation", "title": "Check variables for within- and/or between-group variation", "topics": [ "check_group_variation", "check_group_variation.data.frame", "check_group_variation.default", "summary.check_group_variation" ] }, { "page": "check_heterogeneity_bias", "title": "Check model predictor for heterogeneity bias _(Deprecated)_", "topics": [ "check_heterogeneity_bias" ] }, { "page": "check_heteroscedasticity", "title": "Check model for (non-)constant error variance", "concept": [ "functions to check model assumptions and and assess model quality" ], "topics": [ "check_heteroscedasticity", "check_heteroskedasticity" ] }, { "page": "check_homogeneity", "title": "Check model for homogeneity of variances", "concept": [ "functions to check model assumptions and and assess model quality" ], "topics": [ "check_homogeneity", "check_homogeneity.afex_aov" ] }, { "page": "check_itemscale", "title": "Describe Properties of Item Scales", "topics": [ "check_itemscale" ] }, { "page": "check_model", "title": "Visual check of model assumptions", "concept": [ "functions to check model assumptions and and assess model quality" ], "topics": [ "check_model", "check_model.default" ] }, { "page": "check_multimodal", "title": "Check if a distribution is unimodal or multimodal", "topics": [ "check_multimodal" ] }, { "page": "check_normality", "title": "Check model for (non-)normality of residuals.", "topics": [ "check_normality", "check_normality.merMod" ] }, { "page": "check_outliers", "title": "Outliers detection (check for influential observations)", "concept": [ "functions to check model assumptions and and assess model quality" ], "topics": [ "check_outliers", "check_outliers.data.frame", "check_outliers.default", "check_outliers.numeric", "check_outliers.performance_simres" ] }, { "page": "check_overdispersion", "title": "Check overdispersion (and underdispersion) of GL(M)M's", "concept": [ "functions to check model assumptions and and assess model quality" ], "topics": [ "check_overdispersion", "check_overdispersion.glm", "check_overdispersion.performance_simres" ] }, { "page": "check_predictions", "title": "Posterior predictive checks", "concept": [ "functions to check model assumptions and and assess model quality" ], "topics": [ "check_predictions", "check_predictions.default" ] }, { "page": "check_residuals", "title": "Check distribution of simulated quantile residuals", "topics": [ "check_residuals", "check_residuals.default" ] }, { "page": "check_singularity", "title": "Check mixed models for boundary fits", "concept": [ "functions to check model assumptions and and assess model quality" ], "topics": [ "check_singularity", "check_singularity.glmmTMB" ] }, { "page": "check_sphericity", "title": "Check model for violation of sphericity", "topics": [ "check_sphericity" ] }, { "page": "check_symmetry", "title": "Check distribution symmetry", "topics": [ "check_symmetry" ] }, { "page": "check_zeroinflation", "title": "Check for zero-inflation in count models", "concept": [ "functions to check model assumptions and and assess model quality" ], "topics": [ "check_zeroinflation", "check_zeroinflation.default", "check_zeroinflation.performance_simres" ] }, { "page": "classify_distribution", "title": "Classify the distribution of a model-family using machine learning", "topics": [ "classify_distribution" ] }, { "page": "compare_performance", "title": "Compare performance of different models", "topics": [ "compare_performance" ] }, { "page": "cronbachs_alpha", "title": "Cronbach's Alpha for Items or Scales", "topics": [ "cronbachs_alpha", "cronbachs_alpha.data.frame", "item_alpha" ] }, { "page": "display.performance_model", "title": "Print tables in different output formats", "topics": [ "display.performance_model", "print.performance_model", "print_md.compare_performance", "print_md.performance_model" ] }, { "page": "icc", "title": "Intraclass Correlation Coefficient (ICC)", "topics": [ "icc", "variance_decomposition" ] }, { "page": "item_difficulty", "title": "Difficulty of Questionnaire Items", "topics": [ "item_difficulty" ] }, { "page": "item_discrimination", "title": "Discrimination and Item-Total Correlation of Questionnaire Items", "topics": [ "item_discrimination", "item_totalcor" ] }, { "page": "item_intercor", "title": "Mean Inter-Item-Correlation", "topics": [ "item_intercor" ] }, { "page": "item_omega", "title": "McDonald's Omega for Items or Scales", "topics": [ "item_omega", "item_omega.data.frame", "item_omega.matrix" ] }, { "page": "item_reliability", "title": "Reliability Test for Items or Scales", "topics": [ "item_reliability" ] }, { "page": "item_split_half", "title": "Split-Half Reliability", "topics": [ "item_split_half" ] }, { "page": "looic", "title": "LOO-related Indices for Bayesian regressions.", "topics": [ "looic" ] }, { "page": "model_performance", "title": "Model Performance", "topics": [ "model_performance", "performance" ] }, { "page": "model_performance.fa", "title": "Performance of FA / PCA models", "topics": [ "model_performance.fa" ] }, { "page": "model_performance.ivreg", "title": "Performance of instrumental variable regression models", "topics": [ "model_performance.ivreg" ] }, { "page": "model_performance.kmeans", "title": "Model summary for k-means clustering", "topics": [ "model_performance.kmeans" ] }, { "page": "model_performance.lavaan", "title": "Performance of lavaan SEM / CFA Models", "topics": [ "model_performance.lavaan" ] }, { "page": "model_performance.lm", "title": "Performance of Regression Models", "topics": [ "model_performance.lm" ] }, { "page": "model_performance.merMod", "title": "Performance of Mixed Models", "topics": [ "model_performance.merMod" ] }, { "page": "model_performance.rma", "title": "Performance of Meta-Analysis Models", "topics": [ "model_performance.rma" ] }, { "page": "model_performance.stanreg", "title": "Performance of Bayesian Models", "topics": [ "model_performance.BFBayesFactor", "model_performance.stanreg" ] }, { "page": "performance_accuracy", "title": "Accuracy of predictions from model fit", "topics": [ "performance_accuracy" ] }, { "page": "performance_aicc", "title": "Compute the AIC or second-order AIC", "topics": [ "performance_aic", "performance_aic.default", "performance_aic.lmerMod", "performance_aicc" ] }, { "page": "performance_cv", "title": "Cross-validated model performance", "topics": [ "performance_cv" ] }, { "page": "performance_hosmer", "title": "Hosmer-Lemeshow goodness-of-fit test", "topics": [ "performance_hosmer" ] }, { "page": "performance_logloss", "title": "Log Loss", "topics": [ "performance_logloss" ] }, { "page": "performance_mae", "title": "Mean Absolute Error of Models", "topics": [ "mae", "performance_mae" ] }, { "page": "performance_mse", "title": "Mean Square Error of Linear Models", "topics": [ "mse", "performance_mse" ] }, { "page": "performance_pcp", "title": "Percentage of Correct Predictions", "topics": [ "performance_pcp" ] }, { "page": "performance_reliability", "title": "Random Effects Reliability", "topics": [ "performance_dvour", "performance_reliability" ] }, { "page": "performance_rmse", "title": "Root Mean Squared Error", "topics": [ "performance_rmse", "rmse" ] }, { "page": "performance_roc", "title": "Simple ROC curve", "topics": [ "performance_roc" ] }, { "page": "performance_rse", "title": "Residual Standard Error for Linear Models", "topics": [ "performance_rse" ] }, { "page": "performance_score", "title": "Proper Scoring Rules", "topics": [ "performance_score" ] }, { "page": "r2", "title": "Compute the model's R2", "topics": [ "r2", "r2.default", "r2.merMod", "r2.mlm" ] }, { "page": "r2_bayes", "title": "Bayesian R2", "topics": [ "r2_bayes", "r2_posterior", "r2_posterior.BFBayesFactor", "r2_posterior.brmsfit", "r2_posterior.stanreg" ] }, { "page": "r2_coxsnell", "title": "Cox & Snell's R2", "topics": [ "r2_coxsnell" ] }, { "page": "r2_efron", "title": "Efron's R2", "topics": [ "r2_efron" ] }, { "page": "r2_ferrari", "title": "Ferrari's and Cribari-Neto's R2", "topics": [ "r2_ferrari", "r2_ferrari.default" ] }, { "page": "r2_kullback", "title": "Kullback-Leibler R2", "topics": [ "r2_kullback", "r2_kullback.glm" ] }, { "page": "r2_loo", "title": "LOO-adjusted R2", "topics": [ "r2_loo", "r2_loo_posterior", "r2_loo_posterior.brmsfit", "r2_loo_posterior.stanreg" ] }, { "page": "r2_mcfadden", "title": "McFadden's R2", "topics": [ "r2_mcfadden" ] }, { "page": "r2_mckelvey", "title": "McKelvey & Zavoinas R2", "topics": [ "r2_mckelvey" ] }, { "page": "r2_mlm", "title": "Multivariate R2", "topics": [ "r2_mlm" ] }, { "page": "r2_nagelkerke", "title": "Nagelkerke's R2", "topics": [ "r2_nagelkerke" ] }, { "page": "r2_nakagawa", "title": "Nakagawa's R2 for mixed models", "topics": [ "r2_nakagawa" ] }, { "page": "r2_somers", "title": "Somers' Dxy rank correlation for binary outcomes", "topics": [ "r2_somers" ] }, { "page": "r2_tjur", "title": "Tjur's R2 - coefficient of determination (D)", "topics": [ "r2_tjur" ] }, { "page": "r2_xu", "title": "Xu' R2 (Omega-squared)", "topics": [ "r2_xu" ] }, { "page": "r2_zeroinflated", "title": "R2 for models with zero-inflation", "topics": [ "r2_zeroinflated" ] }, { "page": "simulate_residuals", "title": "Simulate randomized quantile residuals from a model", "topics": [ "residuals.performance_simres", "simulate_residuals" ] }, { "page": "test_performance", "title": "Test if models are different", "topics": [ "test_bf", "test_bf.default", "test_likelihoodratio", "test_lrt", "test_performance", "test_vuong", "test_wald" ] } ], "_pkglogo": "https://github.com/easystats/performance/raw/HEAD/man/figures/logo.png", "_readme": "https://github.com/easystats/performance/raw/HEAD/README.md", "_rundeps": [ "bayestestR", "datawizard", "insight" ], "_score": 16.66959395274035, "_indexed": true, "_nocasepkg": "performance", "_universes": [ "easystats" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "0.17.0.3", "date": "2026-06-01T11:02:41.000Z", "distro": "noble", "commit": "ea125b04e57b41edeccadfbe63c32fe6654f1071", "fileid": "eb7bf1219fa85b074d5d8e0e2615b5a99f9b1bdb24e4ad329d36363eb7e67584", "status": "success", "check": "WARNING", "buildurl": "https://github.com/r-universe/easystats/actions/runs/26750335585" }, { "r": "4.6.0", "os": "linux", "version": "0.17.0.3", "date": "2026-06-01T10:59:55.000Z", "distro": "noble", "commit": "ea125b04e57b41edeccadfbe63c32fe6654f1071", "fileid": "9f66e7bdca678a4ec62f1532897ada5767bbb2a400cfe7712541d621fe8967c8", "status": "success", "check": "WARNING", "buildurl": "https://github.com/r-universe/easystats/actions/runs/26750335585" }, { "r": "4.5.3", "os": "mac", "version": "0.17.0.3", "date": "2026-06-01T11:14:00.000Z", "commit": "ea125b04e57b41edeccadfbe63c32fe6654f1071", "fileid": "f756c0ce8530ebb663729345ad61bf2d4f775e29b971742744acb4ecbc202644", "status": "success", "check": "WARNING", "buildurl": "https://github.com/r-universe/easystats/actions/runs/26750335585" }, { "r": "4.6.0", "os": "mac", "version": "0.17.0.3", "date": "2026-06-01T11:13:49.000Z", "commit": "ea125b04e57b41edeccadfbe63c32fe6654f1071", "fileid": "631f2c65b038e6380c9a0eadc2d5e9855a600f72ccda31bad6c06d0586f6b145", "status": "success", "check": "WARNING", "buildurl": "https://github.com/r-universe/easystats/actions/runs/26750335585" }, { "r": "4.6.0", "os": "wasm", "version": "0.17.0.3", "date": "2026-06-01T10:59:54.000Z", "commit": "ea125b04e57b41edeccadfbe63c32fe6654f1071", "fileid": "ec9312bda6a441dc7bdd504b25111eb40dfdbd2310ae41b9c986f9c09aaaacc4", "status": "success", "buildurl": "https://github.com/r-universe/easystats/actions/runs/26750335585" }, { "r": "4.7.0", "os": "win", "version": "0.17.0.3", "date": "2026-06-01T10:59:01.000Z", "commit": "ea125b04e57b41edeccadfbe63c32fe6654f1071", "fileid": "8c4ef0d23b880fd3bca0acbb103aee24a1594f2fed9810aa4701fd92f59891b2", "status": "success", "check": "WARNING", "buildurl": "https://github.com/r-universe/easystats/actions/runs/26750335585" }, { "r": "4.5.3", "os": "win", "version": "0.17.0.3", "date": "2026-06-01T10:58:39.000Z", "commit": "ea125b04e57b41edeccadfbe63c32fe6654f1071", "fileid": "04dbc60f9fc471e08901439207d5e21517081a41c360394f6aaa31210b0b4844", "status": "success", "check": "WARNING", "buildurl": "https://github.com/r-universe/easystats/actions/runs/26750335585" }, { "r": "4.6.0", "os": "win", "version": "0.17.0.3", "date": "2026-06-01T10:58:31.000Z", "commit": "ea125b04e57b41edeccadfbe63c32fe6654f1071", "fileid": "9074f17ae04733743539fa9864ca85fb74f45202e65ba57b08e87bdae07af3ac", "status": "success", "check": "WARNING", "buildurl": "https://github.com/r-universe/easystats/actions/runs/26750335585" } ] }