Changelog

The ard_categorical_ci(value) argument has been added. Previously, only binary variables (0/1 or TRUE/FALSE) could be summarized. When a value is not supplied, each level of the variable is summarized independently. By default, binary variables will have the 1/TRUE level summarized.

Added the following functions for calculating Analysis Results Datasets (ARDs).

• ard_stats_aov() for calculating ANOVA results using stats::aov(). (#3)
• ard_stats_anova() for calculating ANOVA results using stats::anova(). (#12)
• ard_stats_mcnemar_test_long() for McNemar’s test from long data using stats::mcnemar.test().
• ard_stats_prop_test() for tests of proportions using stats::prop.test(). (#64)
• ard_stats_t_test_onesample() for calculating one-sample results.
• ard_stats_wilcox_test_onesample() for calculating one-sample results.
• ard_stats_oneway_test() for calculating ANOVA results using stats::oneway.test(). (#3)
• ard_aod_wald_test() for calculating Wald Tests for regression models using aod::wald.test(). (#84)
• ard_car_anova() for calculating ANOVA results using car::Anova(). (#3)
• ard_car_vif() for calculating the variance inflation factor using car::vif(). (#10)
• ard_effectsize_cohens_d(), ard_effectsize_paired_cohens_d(), ard_effectsize_hedges_g(), and ard_effectsize_paired_hedges_g() for standardized differences using effectsize::cohens_d() and effectsize::hedges_g(). (#50)
• ard_emmeans_mean_difference() for calculating the least-squares mean differences using the {emmeans} package. (#34)
• ard_smd_smd() for calculating standardized mean differences using smd::smd(). (#4)
• ard_survival_survfit() for survival analyses using survival::survfit(). (#43)
• ard_continuous.survey.design() for calculating univariate summary statistics from weighted/survey data using many functions from the {survey} package. (#68)
• ard_categorical.survey.design() for tabulating summary statistics from weighted/survey data using many functions from the {survey} package. (#140)
• ard_dichotomous.survey.design() for tabulating dichotomous summary statistics from weighted/survey data using many functions from the {survey} package. (#2)
• ard_missing.survey.design() for tabulating missing summary statistics from weighted/survey data using many functions from the {survey} package. (#2)
• ard_attributes.survey.design() for summarizing labels and attributes from weighted/survey data using many functions from the {survey} package.
• ard_survey_svychisq() for weighted/survey chi-squared test using survey::svychisq(). (#72)
• ard_survey_svyttest() for weighted/survey t-tests using survey::svyttest(). (#70)
• ard_survey_svyranktest() for weighted/survey rank tests using survey::svyranktest(). (#71)
• ard_survival_survdiff() for creating results from survival::survdiff(). (#113)
• ard_regression_basic() for basic regression models. The function focuses on matching model terms to underlying variables names. (#46)

Updated functions ard_stats_t_test(), ard_stats_paired_t_test(), ard_stats_wilcox_test(), ard_stats_paired_wilcox_test(), ard_stats_chisq_test(), ard_stats_fisher_test(), ard_stats_kruskal_test(), ard_stats_mcnemar_test(), and ard_stats_mood_test() to accept multiple variables at once. Independent tests are calculated for each variable. The variable argument is renamed to variables. (#77)

Updated ard_stats_t_test() and ard_stats_wilcox_test() to no longer require the by argument, which yields central estimates with their confidence intervals. (#82)

Added model construction helpers, construct_model(), reformulate2(), bt(), and bt_strip().

Imported cli call environment functions from https://github.com/ddsjoberg/standalone/blob/main/R/standalone-cli_call_env.R and implemented set_cli_abort_call in user-facing functions. (#111)