Package: modelbased 0.8.9.36

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:Dominique Makowski [aut, cre], Daniel Lüdecke [aut], Mattan S. Ben-Shachar [aut], Indrajeet Patil [aut]

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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'))

Peer review:

Bug tracker:https://github.com/easystats/modelbased/issues

Pkgdown site:https://easystats.github.io

On CRAN:

contrast-analysiscontrastseasystatsestimateggplot2hacktoberfestmarginalmarginal-effectsmeanspredict

11.87 score 235 stars 3 packages 320 scripts 9.5k downloads 26 exports 4 dependencies

Last updated 1 hours agofrom:c3c787f6ff. Checks:7 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 18 2025
R-4.5-winOKJan 18 2025
R-4.5-linuxOKJan 18 2025
R-4.4-winOKJan 18 2025
R-4.4-macOKJan 18 2025
R-4.3-winOKJan 18 2025
R-4.3-macOKJan 18 2025

Exports:describe_nonlinearestimate_contrastsestimate_expectationestimate_grouplevelestimate_linkestimate_meansestimate_predictionestimate_relationestimate_slopesestimate_smoothfind_inversionsget_emcontrastsget_emmeansget_emtrendsget_marginalcontrastsget_marginalmeansget_marginaltrendsprint_htmlprint_mdreshape_grouplevelsmoothingstandardizeunstandardizevisualisation_matrixvisualisation_recipezero_crossings

Dependencies:bayestestRdatawizardinsightparameters

Overview of Vignettes

Rendered fromoverview_of_vignettes.Rmdusingknitr::rmarkdownon Jan 18 2025.

Last update: 2025-01-12
Started: 2022-05-26

Readme and manuals

Help Manual

Help pageTopics
Describe the smooth term (for GAMs) or non-linear predictorsdescribe_nonlinear describe_nonlinear.data.frame estimate_smooth
Estimate Marginal Contrastsestimate_contrasts
Model-based predictionsestimate_expectation estimate_link estimate_prediction estimate_relation
Group-specific parameters of mixed models random effectsestimate_grouplevel reshape_grouplevel
Estimate Marginal Means (Model-based average at each factor level)estimate_means
Estimate Marginal Effectsestimate_slopes
Consistent API for 'emmeans' and 'marginaleffects'get_emcontrasts get_emmeans get_emtrends get_marginalcontrasts get_marginalmeans get_marginaltrends
Smoothing a vector or a time seriessmoothing
Create a reference gridvisualisation_matrix visualisation_matrix.data.frame visualisation_matrix.factor visualisation_matrix.numeric
Automated plotting for 'modelbased' objectsvisualisation_recipe.estimate_grouplevel visualisation_recipe.estimate_predicted visualisation_recipe.estimate_slopes
Find zero-crossings and inversion pointsfind_inversions zero_crossings