Package: performance 0.12.4.4
performance: Assessment of Regression Models Performance
Utilities for computing measures to assess model quality, which are not directly provided by R's 'base' or 'stats' packages. These include e.g. measures like r-squared, intraclass correlation coefficient (Nakagawa, Johnson & Schielzeth (2017) <doi:10.1098/rsif.2017.0213>), root mean squared error or functions to check models for overdispersion, singularity or zero-inflation and more. Functions apply to a large variety of regression models, including generalized linear models, mixed effects models and Bayesian models. References: Lüdecke et al. (2021) <doi:10.21105/joss.03139>.
Authors:
performance_0.12.4.4.tar.gz
performance_0.12.4.4.zip(r-4.5)performance_0.12.4.4.zip(r-4.4)performance_0.12.4.4.zip(r-4.3)
performance_0.12.4.4.tgz(r-4.4-any)performance_0.12.4.4.tgz(r-4.3-any)
performance_0.12.4.4.tar.gz(r-4.5-noble)performance_0.12.4.4.tar.gz(r-4.4-noble)
performance_0.12.4.4.tgz(r-4.4-emscripten)performance_0.12.4.4.tgz(r-4.3-emscripten)
performance.pdf |performance.html✨
performance/json (API)
NEWS
# Install 'performance' in R: |
install.packages('performance', repos = c('https://easystats.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/easystats/performance/issues
aiceasystatshacktoberfestloomachine-learningmixed-modelsmodelsperformancer2statistics
Last updated 5 days agofrom:106a665e59. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 03 2024 |
R-4.5-win | OK | Nov 03 2024 |
R-4.5-linux | OK | Nov 03 2024 |
R-4.4-win | OK | Nov 03 2024 |
R-4.4-mac | OK | Nov 03 2024 |
R-4.3-win | OK | Nov 03 2024 |
R-4.3-mac | OK | Nov 03 2024 |
Exports:as.dagbinned_residualscheck_autocorrelationcheck_clusterstructurecheck_collinearitycheck_concurvitycheck_convergencecheck_dagcheck_distributioncheck_factorstructurecheck_heterogeneity_biascheck_heteroscedasticitycheck_heteroskedasticitycheck_homogeneitycheck_itemscalecheck_kmocheck_modelcheck_multimodalcheck_normalitycheck_outlierscheck_overdispersioncheck_predictionscheck_residualscheck_singularitycheck_sphericitycheck_sphericity_bartlettcheck_symmetrycheck_zeroinflationcompare_performancecronbachs_alphadisplayiccitem_difficultyitem_discriminationitem_intercoritem_reliabilityitem_split_halflooicmaemodel_performancemsemulticollinearityperformanceperformance_accuracyperformance_aicperformance_aiccperformance_cvperformance_hosmerperformance_loglossperformance_maeperformance_mseperformance_pcpperformance_rmseperformance_rocperformance_rseperformance_scoreprint_htmlprint_mdr2r2_bayesr2_coxsnellr2_efronr2_ferrarir2_kullbackr2_loor2_loo_posteriorr2_mcfaddenr2_mckelveyr2_mlmr2_nagelkerker2_nakagawar2_posteriorr2_somersr2_tjurr2_xur2_zeroinflatedrmsesimulate_residualstest_bftest_likelihoodratiotest_lrttest_performancetest_vuongtest_waldvariance_decomposition
Dependencies:bayestestRdatawizardinsight