The aim of easystats is to provide a unifying and consistent framework to tame, discipline and harness the scary R statistics and their pesky models.

The whole easystats suite can be installed at once with the following:

install.packages("devtools")
devtools::install_github("easystats/easystats")

library("easystats")

• parameters: a powerful and lightweight alternative to broom to describe your models’ coefficients
• Check your (Mixed) Model for Multicollinearity with ‘performance’
• Testing Contrasts from Bayesian Models with ‘emmeans’ and ‘bayestestR’
• Become a Bayesian master with bayestestR (0.2)
• The ‘see’ package: beautiful figures for easystats
• A perfectly normally distributed sample: another post?
• Compute R2s and other performance indices for all your models!
• How to easily generate a perfectly normal distribution
• Describe and understand Bayesian models and posteriors using bayestestR
• A unified syntax for accessing models’ information
• The end of errors in ANOVA reporting
• Formatted correlation output with effect sizes

Taking all packages from the easystats project into account, we have following package dependencies.

The see package is one of our high-level packages that is responsible for plotting and creating figures. Thus, it increases package dependencies by a substantial amount. Just taking the core packages into consideration, you see that the easystats packages are indeed small and lightweight.

Following conventions apply to the easystats-ecosystem, to ensure that function and argument names as well as element names for return-values follow a consistent pattern across all packages.

Importing other packages

• No full import, only selective import of functions
• Use base-R wherever possible (reduce dependencies)
• Make sure R-version requirements are not too strict

Helper-functions

• Own re-implementation of helper-functions, if it’s not too much effort (e.g. I typically use own functions to check if a string starts / ends with a pattern, or if an object (list, data frame) contains an element with a given name (like tibble::has_name()), to reduce dependencies.

Function names

• Lower case, underscore separated if more than one verb
• Common prefix for functions that focus on specific “tasks” or workflows (e.g. insight, get_*() to get data, find_*() to find information, or performance, performance_*() to compute measures of model quality, check_*() to check model assumptions…)
• Internal functions (that are not exported, like the previously mentined helper-functions) should always start with a . (e.g., .do_some_internal_stuff()).

Argument names

• lower case, underscore separated if more than one verb

Element / Column names (for returned data frames)

1. First letter of the column name is capital, unless (6) applies (example: Parameter)
2. First letter of nouns is capital, unless (6) applies (example: ROPE_Percentage, Prior_Scale)
3. Using underscore rather than camelCase to separate words (example: CI_high)
4. Multiple words: common/main part first and adjective/specifier/variational part after (example: Median_standardized, ROPE_percentage)
5. Abbreviations: all uppercase (example: ESS, MCSE, ROPE)
6. Keep conventions for reserved words (example: p, pd, Rhat)
7. Adjectives / verbs: all lower case, unless (1) applies (example: high or low in CI_high or CI_low)

• %>% (report)
• add_plot_attributes (see)
• all_models_equal (insight)
• all_models_same_class (insight)
• area_under_curve (bayestestR)
• as.numeric_ifnumeric (estimate)
• as.report (report)
• auc (bayestestR)
• bayesfactor_inclusion (bayestestR)
• bayesfactor_models (bayestestR)
• bayesfactor_parameters (bayestestR)
• bayesfactor_restricted (bayestestR)
• bayesfactor_savagedickey (bayestestR)
• bayesfactor (bayestestR)
• binned_residuals (performance)
• check_autocorrelation (performance)
• check_collinearity (performance)
• check_convergence (performance)
• check_distribution (performance)
• check_factorstructure (parameters)
• check_heteroscedasticity (performance)
• check_homogeneity (performance)
• check_kmo (parameters)
• check_model (performance)
• check_normality (performance)
• check_outliers (performance)
• check_overdispersion (performance)
• check_prior (bayestestR)
• check_singularity (performance)
• check_smoothness (parameters)
• check_sphericity (parameters)
• check_zeroinflation (performance)
• ci_wald (parameters)
• ci (bayestestR)
• cite_packages (report)
• clean_names (insight)
• clean_parameters (insight)
• cmds (parameters)
• cohens_f (parameters)
• color_if (insight)
• colour_if (insight)
• compare_performance (performance)
• contr.bayes (bayestestR)
• convert_d_to_odds (parameters)
• convert_d_to_r (parameters)
• convert_data_to_numeric (parameters)
• convert_efa_to_cfa (parameters)
• convert_odds_to_d (parameters)
• convert_odds_to_probs (parameters)
• convert_p_to_pd (bayestestR)
• convert_pd_to_p (bayestestR)
• convert_probs_to_odds (parameters)
• convert_r_to_d (parameters)
• cor_test (correlation)
• correlation (correlation)
• cronbachs_alpha (performance)
• d_to_odds (parameters)
• d_to_r (parameters)
• data_partition (parameters)
• data_plot (see)
• data_to_numeric (parameters)
• density_at (bayestestR)
• describe_distribution (parameters)
• describe_posterior (bayestestR)
• describe_prior (bayestestR)
• diagnostic_posterior (bayestestR)
• distribution_beta (bayestestR)
• distribution_cauchy (bayestestR)
• distribution_chisquared (bayestestR)
• distribution_custom (bayestestR)
• distribution_gamma (bayestestR)
• distribution_mixture_normal (bayestestR)
• distribution_normal (bayestestR)
• distribution_poisson (bayestestR)
• distribution_student (bayestestR)
• distribution_uniform (bayestestR)
• distribution (bayestestR)
• dof_kenward (parameters)
• download_model (insight)
• DRR (parameters)
• efa_to_cfa (parameters)
• effective_sample (bayestestR)
• epsilon_squared (parameters)
• equivalence_test (bayestestR)
• estimate_contrasts (estimate)
• estimate_density (bayestestR)
• estimate_link (estimate)
• estimate_means (estimate)
• estimate_response (estimate)
• estimate_slopes (estimate)
• estimate_smooth (estimate)
• eta_squared (parameters)
• eti (bayestestR)
• find_algorithm (insight)
• find_formula (insight)
• find_interactions (insight)
• find_inversions (estimate)
• find_parameters (insight)
• find_predictors (insight)
• find_random_slopes (insight)
• find_random (insight)
• find_response (insight)
• find_statistic (insight)
• find_terms (insight)
• find_variables (insight)
• find_weights (insight)
• flat_colors (see)
• format_algorithm (report)
• format_bf (parameters)
• format_ci (parameters)
• format_model (report)
• format_number (parameters)
• format_order (parameters)
• format_p (parameters)
• format_parameters (parameters)
• format_pd (parameters)
• format_rope (parameters)
• format_standardize (parameters)
• format_table (insight)
• format_text (report)
• format_value (insight)
• generalized_inverse (correlation)
• geom_jitter2 (see)
• geom_point2 (see)
• geom_pooljitter (see)
• geom_poolpoint (see)
• geom_violindot (see)
• geom_violinhalf (see)
• get_correlation_slope_intercept (insight)
• get_data (insight)
• get_parameters (insight)
• get_predictors (insight)
• get_priors (insight)
• get_random (insight)
• get_response (insight)
• get_statistic (insight)
• get_varcov (insight)
• get_variance_dispersion (insight)
• get_variance_distribution (insight)
• get_variance_fixed (insight)
• get_variance_intercept (insight)
• get_variance_random (insight)
• get_variance_residual (insight)
• get_variance_slope (insight)
• get_variance (insight)
• get_weights (insight)
• has_intercept (insight)
• hdi (bayestestR)
• ICA (parameters)
• icc (performance)
• interpret_agfi (report)
• interpret_bf (report)
• interpret_cfi (report)
• interpret_d (report)
• interpret_direction (report)
• interpret_effective_sample (report)
• interpret_gfi (report)
• interpret_ifi (report)
• interpret_nfi (report)
• interpret_nnfi (report)
• interpret_odds (report)
• interpret_omega_squared (report)
• interpret_p (report)
• interpret_pnfi (report)
• interpret_r (report)
• interpret_r2 (report)
• interpret_rfi (report)
• interpret_rhat (report)
• interpret_rmsea (report)
• interpret_rope (report)
• interpret_srmr (report)
• interpret (report)
• is.report (report)
• is.rules (report)
• is_model_supported (insight)
• is_model (insight)
• is_multivariate (insight)
• is_nullmodel (insight)
• item_difficulty (performance)
• item_intercor (performance)
• item_reliability (performance)
• item_split_half (performance)
• kurtosis (parameters)
• link_function (insight)
• link_inverse (insight)
• looic (performance)
• map_estimate (bayestestR)
• material_colors (see)
• mcse (bayestestR)
• metro_colors (see)
• model_bootstrap (parameters)
• model_info (insight)
• model_parameters (parameters)
• model_performance (performance)
• model_simulate (parameters)
• mse (performance)
• n_factors (parameters)
• n_obs (insight)
• n_parameters (parameters)
• normalize (parameters)
• odds_to_d (parameters)
• odds_to_probs (parameters)
• omega_squared (parameters)
• p_direction (bayestestR)
• p_map (bayestestR)
• p_rope (bayestestR)
• p_to_pd (bayestestR)
• p_value_kenward (parameters)
• p_value_wald (parameters)
• p_value (parameters)
• palette_flat (see)
• palette_material (see)
• palette_metro (see)
• palette_pizza (see)
• palette_social (see)
• parameters_bootstrap (parameters)
• parameters_reduction (parameters)
• parameters_selection (parameters)
• parameters_simulate (parameters)
• parameters_standardize (parameters)
• parameters_table (parameters)
• parameters_type (parameters)
• parameters (parameters)
• pd_to_p (bayestestR)
• pd (bayestestR)
• performance_accuracy (performance)
• performance_aicc (performance)
• performance_hosmer (performance)
• performance_logloss (performance)
• performance_mse (performance)
• performance_pcp (performance)
• performance_rmse (performance)
• performance_roc (performance)
• performance_rse (performance)
• performance_score (performance)
• performance (performance)
• pizza_colors (see)
• plots (see)
• point_estimate (bayestestR)
• principal_components (parameters)
• print_color (insight)
• print_colour (insight)
• print_parameters (insight)
• probs_to_odds (parameters)
• r_to_d (parameters)
• r2_bayes (performance)
• r2_coxsnell (performance)
• r2_kullback (performance)
• r2_loo (performance)
• r2_mcfadden (performance)
• r2_mckelvey (performance)
• r2_nagelkerke (performance)
• r2_nakagawa (performance)
• r2_tjur (performance)
• r2_xu (performance)
• r2_zeroinflated (performance)
• r2 (performance)
• remove_triangular (correlation)
• rename_if_possible (report)
• report_participants (report)
• report (report)
• reshape_ci (bayestestR)
• reshape_draws (estimate)
• reshape_loadings (parameters)
• rmse (performance)
• rnorm_perfect (bayestestR)
• rope_range (bayestestR)
• rope (bayestestR)
• rules (report)
• scale_color_flat_c (see)
• scale_color_flat_d (see)
• scale_color_flat (see)
• scale_color_material_c (see)
• scale_color_material_d (see)
• scale_color_material (see)
• scale_color_metro_c (see)
• scale_color_metro_d (see)
• scale_color_metro (see)
• scale_color_pizza_c (see)
• scale_color_pizza_d (see)
• scale_color_pizza (see)
• scale_color_social_c (see)
• scale_color_social_d (see)
• scale_color_social (see)
• scale_colour_flat_c (see)
• scale_colour_flat_d (see)
• scale_colour_flat (see)
• scale_colour_material_c (see)
• scale_colour_material_d (see)
• scale_colour_material (see)
• scale_colour_metro_c (see)
• scale_colour_metro_d (see)
• scale_colour_metro (see)
• scale_colour_pizza_c (see)
• scale_colour_pizza_d (see)
• scale_colour_pizza (see)
• scale_colour_social_c (see)
• scale_colour_social_d (see)
• scale_colour_social (see)
• scale_fill_flat_c (see)
• scale_fill_flat_d (see)
• scale_fill_flat (see)
• scale_fill_material_c (see)
• scale_fill_material_d (see)
• scale_fill_material (see)
• scale_fill_metro_c (see)
• scale_fill_metro_d (see)
• scale_fill_metro (see)
• scale_fill_pizza_c (see)
• scale_fill_pizza_d (see)
• scale_fill_pizza (see)
• scale_fill_social_c (see)
• scale_fill_social_d (see)
• scale_fill_social (see)
• se_kenward (parameters)
• se (parameters)
• sensitivity_to_prior (bayestestR)
• show_packages (report)
• simulate_prior (bayestestR)
• skewness (parameters)
• smoothing (estimate)
• smoothness (parameters)
• social_colors (see)
• standard_error (parameters)
• standardize_names (parameters)
• standardize (parameters)
• supported_models (insight)
• text_initial (report)
• text_model (report)
• text_parameters (report)
• text_performance (report)
• theme_abyss (see)
• theme_blackboard (see)
• theme_lucid (see)
• theme_modern (see)
• to_fulltable (report)
• to_fulltext (report)
• to_table (report)
• to_text (report)
• to_values (report)
• visualisation_matrix (estimate)
• zero_crossings (estimate)