Package: modelbased 0.8.8
Dominique Makowski
modelbased: Estimation of Model-Based Predictions, Contrasts and Means
Implements a general interface for model-based estimations for a wide variety of models, used in the computation of marginal means, contrast analysis and predictions. For a list of supported models, see 'insight::supported_models()'.
Authors:
modelbased_0.8.8.tar.gz
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modelbased.pdf |modelbased.html✨
modelbased/json (API)
NEWS
| # Install 'modelbased' in R: |
| install.packages('modelbased', repos = c('https://easystats.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/easystats/modelbased/issues
contrast-analysiscontrastseasystatsestimateggplot2hacktoberfestmarginalmarginal-effectsmeanspredict
Last updated 2 months agofrom:aacd7e7343
Exports:describe_nonlinearestimate_contrastsestimate_expectationestimate_grouplevelestimate_linkestimate_meansestimate_predictionestimate_relationestimate_responseestimate_slopesestimate_smoothfind_inversionsget_emcontrastsget_emmeansget_emtrendsget_marginaleffectsmodel_emcontrastsmodel_emmeansmodel_emtrendsprint_mdreshape_grouplevelsmoothingstandardizeunstandardizevisualisation_matrixvisualisation_recipezero_crossings
Dependencies:bayestestRdatawizardeffectsizeinsightparametersperformance
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Describe the smooth term (for GAMs) or non-linear predictors | describe_nonlinear describe_nonlinear.data.frame estimate_smooth |
| Estimate Marginal Contrasts | estimate_contrasts |
| Model-based response estimates and uncertainty | estimate_expectation estimate_link estimate_prediction estimate_relation estimate_response |
| Group-specific parameters of mixed models random effects | estimate_grouplevel reshape_grouplevel |
| Estimate Marginal Means (Model-based average at each factor level) | estimate_means |
| Estimate Marginal Effects | estimate_slopes |
| Find points of inversion | find_inversions |
| Easy 'emmeans' and 'emtrends' | get_emcontrasts get_emmeans get_emtrends model_emcontrasts model_emmeans model_emtrends |
| Easy marginaleffects | get_marginaleffects |
| Smoothing a vector or a time series | smoothing |
| Create a reference grid | visualisation_matrix visualisation_matrix.data.frame visualisation_matrix.factor visualisation_matrix.numeric |
| Visualisation Recipe for 'modelbased' Objects | visualisation_recipe.estimate_grouplevel visualisation_recipe.estimate_means visualisation_recipe.estimate_predicted visualisation_recipe.estimate_slopes |
| Find zero crossings of a vector | zero_crossings |
