Package: marginaleffects
Title: Predictions, Comparisons, Slopes, Marginal Means, and Hypothesis
        Tests
Version: 0.28.0
Authors@R: 
    c(person(given = "Vincent",
             family = "Arel-Bundock",
             role = c("aut", "cre", "cph"),
             email = "vincent.arel-bundock@umontreal.ca",
             comment = c(ORCID = "0000-0003-2042-7063")),
      person(given = "Noah",
             family = "Greifer",
             role = "ctb",
             email = "noah.greifer@gmail.com",
             comment = c(ORCID = "0000-0003-3067-7154")),
      person("Etienne", "Bacher",
             email = "etienne.bacher@protonmail.com",
             role = "ctb",
             comment = c(ORCID = "0000-0002-9271-5075")),
      person(given = "Grant",
             family = "McDermott",
             role = c("ctb"),
             comment = c(ORCID = "0000-0001-7883-8573")),
      person(given = "Andrew",
             family = "Heiss",
             role = c("ctb"),
             comment = c(ORCID = "0000-0002-3948-3914"))
             )
Description: Compute and plot predictions, slopes, marginal means, and comparisons (contrasts, risk ratios, odds, etc.) for over 100 classes of statistical and machine learning models in R. Conduct linear and non-linear hypothesis tests, or equivalence tests. Calculate uncertainty estimates using the delta method, bootstrapping, or simulation-based inference. Details can be found in Arel-Bundock, Greifer, and Heiss (2024) <doi:10.18637/jss.v111.i09>.
License: GPL (>= 3)
Copyright: inst/COPYRIGHTS
Encoding: UTF-8
URL: https://marginaleffects.com/
BugReports: https://github.com/vincentarelbundock/marginaleffects/issues
RoxygenNote: 7.3.2
Depends: R (>= 3.6.0)
Imports: backports, checkmate, data.table (>= 1.16.4), generics,
        Formula, insight (>= 1.3.0), methods, rlang, Rcpp (>= 1.0.0)
LinkingTo: Rcpp, RcppEigen
Suggests: AER, Amelia, afex, aod, bench, betareg, BH, bife, biglm,
        blme, boot, brglm2, brms, brmsmargins, broom, car, carData,
        causaldata, clarify, cjoint, cobalt, collapse, conflicted,
        countrycode, covr, crch, DALEXtra, DCchoice, dbarts,
        distributional, dfidx, dplyr, emmeans, equivalence, estimatr,
        fixest, flexsurv, fmeffects, fontquiver, future, future.apply,
        fwb, gam, gamlss, gamlss.dist, geepack, ggdist, ggokabeito,
        ggplot2, ggrepel, glmmTMB, glmtoolbox, glmx, haven, here,
        itsadug, ivreg, kableExtra, lme4, lmerTest, logistf, magrittr,
        MatchIt, MASS, mclogit, MCMCglmm, mhurdle, missRanger, mgcv,
        mice, miceadds, mlogit, mlr3verse, modelbased, modelsummary,
        multcomp, mvtnorm, nanoparquet, nlme, nnet, numDeriv,
        nycflights13, optmatch, ordbetareg, ordinal, parameters,
        parsnip, partykit, patchwork, pkgdown, phylolm, pbapply, plm,
        polspline, posterior, pscl, purrr, quantreg, Rchoice, REndo,
        rcmdcheck, remotes, reticulate, rmarkdown, rms, robust,
        robustbase, robustlmm, rsample, rstanarm, rstantools, rstpm2,
        rstudioapi, rsvg, sampleSelection, sandwich, scam, spelling,
        speedglm, splines, survey, survival, svglite, systemfit,
        systemfonts, tibble, tictoc, tidymodels, tidyr, tidyverse,
        tinysnapshot (>= 0.0.7), tinytable (>= 0.6.1), tinytest,
        titanic, truncreg, tsModel, withr, workflows, yaml, xgboost,
        testthat (>= 3.0.0), altdoc, knitr, quarto
Collate: 'RcppExports.R' 'backtransform.R' 'broom.R' 'by.R'
        'comparisons.R' 'complete_levels.R' 'config.R'
        'construct_call.R' 'datagrid.R' 'equivalence.R' 'get_ci.R'
        'get_coef.R' 'get_contrast_data.R'
        'get_contrast_data_character.R' 'get_contrast_data_factor.R'
        'get_contrast_data_logical.R' 'get_contrast_data_numeric.R'
        'get_contrasts.R' 'get_dataset.R' 'get_degrees_of_freedom.R'
        'get_draws.R' 'get_group_names.R' 'get_jacobian.R'
        'get_labels.R' 'get_model_matrix.R'
        'get_model_matrix_attribute.R' 'get_modeldata.R'
        'get_predict.R' 'get_se_delta.R' 'get_vcov.R' 'github_issue.R'
        'hush.R' 'hypotheses.R' 'hypotheses_joint.R' 'hypothesis.R'
        'hypothesis_formula.R' 'hypothesis_function.R'
        'hypothesis_matrix.R' 'hypothesis_string.R' 'imputation.R'
        'inferences.R' 'inferences_boot.R' 'inferences_conformal.R'
        'inferences_fwb.R' 'inferences_rsample.R'
        'inferences_simulation.R' 'matrix_apply.R' 'mean_or_mode.R'
        'methods.R' 'set_coef.R' 'methods_AER.R' 'methods_MASS.R'
        'methods_MCMCglmm.R' 'methods_Rchoice.R' 'methods_WeightIt.R'
        'methods_afex.R' 'methods_aod.R' 'methods_betareg.R'
        'methods_bife.R' 'methods_biglm.R' 'methods_nnet.R'
        'methods_brglm2.R' 'sanity_model.R' 'methods_brms.R'
        'methods_crch.R' 'methods_dataframe.R' 'methods_dbarts.R'
        'methods_fixest.R' 'methods_flexsurv.R' 'methods_gamlss.R'
        'methods_glmmTMB.R' 'methods_glmtoolbox.R' 'methods_glmx.R'
        'methods_lme4.R' 'methods_mclogit.R' 'methods_mgcv.R'
        'methods_mhurdle.R' 'methods_mlm.R' 'methods_mlogit.R'
        'methods_mlr3.R' 'methods_nlme.R' 'methods_ordinal.R'
        'methods_plm.R' 'methods_pscl.R' 'methods_quantreg.R'
        'methods_rms.R' 'methods_robustlmm.R' 'methods_rstanarm.R'
        'methods_rstpm2.R' 'methods_sampleSelection.R' 'methods_scam.R'
        'methods_stats.R' 'methods_survey.R' 'methods_survival.R'
        'methods_systemfit.R' 'methods_tidymodels.R' 'methods_tobit1.R'
        'modelarchive.R' 'multcomp.R' 'myTryCatch.R' 'package.R'
        'plot.R' 'plot_build.R' 'plot_comparisons.R'
        'plot_predictions.R' 'plot_slopes.R' 'predictions.R' 'print.R'
        'recall.R' 'sanitize_comparison.R' 'sanitize_condition.R'
        'sanitize_conf_level.R' 'sanitize_estimator.R'
        'sanitize_hypothesis.R' 'sanitize_hypothesis_formula.R'
        'sanitize_interaction.R' 'sanitize_newdata.R'
        'sanitize_numderiv.R' 'sanitize_reserved.R' 'sanitize_type.R'
        'sanitize_variables.R' 'sanitize_vcov.R' 'sanity.R'
        'sanity_by.R' 'sanity_dots.R' 'settings.R' 'slopes.R' 'sort.R'
        'tinytest.R' 'type_dictionary.R' 'unpack_matrix_cols.R'
        'utils.R' 'zzz.R'
Language: en-US
Config/testthat/edition: 3
VignetteBuilder: knitr, quarto
NeedsCompilation: yes
Packaged: 2025-06-24 23:39:50 UTC; vincent
Author: Vincent Arel-Bundock [aut, cre, cph] (ORCID:
    <https://orcid.org/0000-0003-2042-7063>),
  Noah Greifer [ctb] (ORCID: <https://orcid.org/0000-0003-3067-7154>),
  Etienne Bacher [ctb] (ORCID: <https://orcid.org/0000-0002-9271-5075>),
  Grant McDermott [ctb] (ORCID: <https://orcid.org/0000-0001-7883-8573>),
  Andrew Heiss [ctb] (ORCID: <https://orcid.org/0000-0002-3948-3914>)
Maintainer: Vincent Arel-Bundock <vincent.arel-bundock@umontreal.ca>
Repository: CRAN
Date/Publication: 2025-06-25 11:50:02 UTC
Built: R 4.5.0; aarch64-apple-darwin20; 2025-07-04 07:34:19 UTC; unix
Archs: marginaleffects.so.dSYM
