Package: modelbased 0.8.9
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_0.8.9.tar.gz
modelbased_0.8.9.zip(r-4.5)modelbased_0.8.9.zip(r-4.4)modelbased_0.8.9.zip(r-4.3)
modelbased_0.8.9.tgz(r-4.4-any)modelbased_0.8.9.tgz(r-4.3-any)
modelbased_0.8.9.tar.gz(r-4.5-noble)modelbased_0.8.9.tar.gz(r-4.4-noble)
modelbased_0.8.9.tgz(r-4.4-emscripten)modelbased_0.8.9.tgz(r-4.3-emscripten)
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
Pkgdown:https://easystats.github.io
contrast-analysiscontrastseasystatsestimateggplot2hacktoberfestmarginalmarginal-effectsmeanspredict
Last updated 1 months agofrom:46fbc0d67a. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 03 2024 |
R-4.5-win | OK | Dec 03 2024 |
R-4.5-linux | OK | Dec 03 2024 |
R-4.4-win | OK | Dec 03 2024 |
R-4.4-mac | OK | Dec 03 2024 |
R-4.3-win | OK | Dec 03 2024 |
R-4.3-mac | OK | Dec 03 2024 |
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 |