Package: marginaleffects
Title: Predictions, Comparisons, Slopes, Marginal Means, and Hypothesis Tests
Version: 0.10.0
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 = "Marcio Augusto",
             family = "Diniz",
             role = "ctb",
             email = "marcio.diniz@cshs.org",
             comment = c(ORCID = "0000-0002-2427-7843")),
      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")))
Description: Compute and plot predictions, slopes, marginal means, and comparisons (contrasts, risk ratios, odds, etc.) for over 70 classes of statistical 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.
License: GPL (>= 3)
Copyright: inst/COPYRIGHTS
LazyData: true
Encoding: UTF-8
URL: https://vincentarelbundock.github.io/marginaleffects/
BugReports: https://github.com/vincentarelbundock/marginaleffects/issues
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.2.3
Depends: 
    R (>= 3.5.0)
Imports: 
    checkmate,
    data.table,
    generics,
    insight (>= 0.19.0),
    methods
Suggests: 
    AER,
    Amelia,
    afex,
    aod,
    bench,
    betareg,
    BH,
    bife,
    biglm,
    blme,
    boot,
    brglm2,
    brms,
    brmsmargins,
    broom,
    collapse,
    conflicted,
    covr,
    crch,
    distributional,
    dplyr,
    emmeans,
    equivalence,
    estimatr,
    fixest,
    future,
    fwb,
    gam,
    gamlss,
    gamlss.dist,
    geepack,
    ggdag,
    ggdist,
    ggokabeito,
    ggplot2,
    ggrepel,
    glmmTMB,
    glmx,
    haven,
    here,
    itsadug,
    ivreg,
    kableExtra,
    knitr,
    lme4,
    lmerTest,
    magrittr,
    margins,
    MASS,
    mclogit,
    MCMCglmm,
    missRanger,
    mgcv,
    mhurdle,
    mice,
    miceadds,
    mlogit,
    modelbased,
    modelsummary,
    nlme,
    nnet,
    numDeriv,
    ordinal,
    ordbetareg,
    parameters,
    patchwork,
    pkgdown,
    plm,
    polspline,
    poorman,
    posterior,
    prediction,
    pscl,
    purrr,
    quantreg,
    Rchoice,
    remotes,
    rmarkdown,
    rms,
    robust,
    robustbase,
    robustlmm,
    rsample,
    rstanarm,
    rstantools,
    sampleSelection,
    sandwich,
    scam,
    speedglm,
    spelling,
    survey,
    survival,
    svglite,
    systemfonts,
    tibble,
    tidymodels,
    tidyr,
    tidyverse,
    tinytest,
    truncreg,
    tsModel,
    withr
Collate: 
    'backtransform.R'
    'bootstrap_boot.R'
    'bootstrap_fwb.R'
    'bootstrap_rsample.R'
    'broom.R'
    'by.R'
    'ci.R'
    'comparisons.R'
    'complete_levels.R'
    'datagrid.R'
    'equivalence.R'
    'get_averages.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_group_names.R'
    'get_hypothesis.R'
    'get_jacobian.R'
    'get_modeldata.R'
    'get_predict.R'
    'get_se_delta.R'
    'get_vcov.R'
    'github_issue.R'
    'hush.R'
    'hypotheses.R'
    'imputation.R'
    'inferences.R'
    'marginal_means.R'
    'mean_or_mode.R'
    'set_coef.R'
    'methods_MASS.R'
    'methods_MCMCglmm.R'
    'methods_Rchoice.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_fixest.R'
    'methods_gamlss.R'
    'methods_glmmTMB.R'
    'methods_glmx.R'
    'methods_inferences_simulation.R'
    'methods_lme4.R'
    'methods_mclogit.R'
    'methods_mgcv.R'
    'methods_mhurdle.R'
    'methods_mlm.R'
    'methods_mlogit.R'
    'methods_ordinal.R'
    'methods_plm.R'
    'methods_pscl.R'
    'methods_quantreg.R'
    'methods_rms.R'
    'methods_robustlmm.R'
    'methods_rstanarm.R'
    'methods_sampleSelection.R'
    'methods_scam.R'
    'methods_stats.R'
    'methods_survival.R'
    'methods_tobit1.R'
    'modelarchive.R'
    'myTryCatch.R'
    'package.R'
    'plot.R'
    'plot_build.R'
    'plot_comparisons.R'
    'plot_predictions.R'
    'plot_slopes.R'
    'posterior_draws.R'
    'predictions.R'
    'print.R'
    'recall.R'
    'sanitize_condition.R'
    'sanitize_conf_level.R'
    'sanitize_hypothesis.R'
    'sanitize_interaction.R'
    'sanitize_newdata.R'
    'sanitize_transform_pre.R'
    'sanitize_type.R'
    'sanitize_variables.R'
    'sanitize_vcov.R'
    'sanity.R'
    'sanity_by.R'
    'sanity_dots.R'
    'settings.R'
    'slopes.R'
    'summary.R'
    'tinytest.R'
    'type_dictionary.R'
    'unpack_matrix_cols.R'
    'utils.R'
Language: en-US
