| as_tibble | Convert a testflow object to a one-row tibble |
| as_tibble.sample_size | Sample size planning for common trial designs |
| make_cardio_data | Simulate a small cardiovascular teaching dataset |
| plot.sample_size | Sample size planning for common trial designs |
| plot.testflow | Plot a testflow object |
| print.sample_size | Sample size planning for common trial designs |
| print.testflow | Print a testflow object |
| report | Return a ready-to-use testflow report |
| report.sample_size | Sample size planning for common trial designs |
| report_test | Return a ready-to-use testflow report |
| sample_size | Sample size planning for common trial designs |
| sample_size_adjust_dropout | Sample size planning for common trial designs |
| sample_size_binary | Sample size planning for common trial designs |
| sample_size_bioequivalence | Sample size for average bioequivalence |
| sample_size_cluster_adjust | Adjust an individually randomized sample size for cluster randomization |
| sample_size_continuous | Sample size planning for common trial designs |
| sample_size_ordinal | Sample size planning for common trial designs |
| sample_size_precision | Sample size for confidence-interval precision |
| sample_size_survival | Sample size planning for common trial designs |
| summary.sample_size | Sample size planning for common trial designs |
| summary.testflow | Summarize a testflow object |
| sumtab | Build a compact descriptive summary table |
| test_agreement | Inter-rater agreement workflow (Cohen's kappa) |
| test_categorical | Test association between two categorical variables |
| test_correlation | Test correlation between two numeric variables |
| test_correlation_matrix | Test a correlation matrix |
| test_cox | Cox proportional hazards regression workflow |
| test_diagnostic | Diagnostic test accuracy workflow |
| test_factorial | Run a factorial ANOVA workflow |
| test_groups | Compare a numeric outcome across more than two groups |
| test_icc | Intraclass correlation coefficient workflow |
| test_linear_regression | Multiple linear regression workflow |
| test_logistic_regression | Logistic regression workflow |
| test_multinomial | Test multinomial goodness of fit |
| test_one_sample | Test one numeric sample against a reference value |
| test_outliers | Detect numeric outliers |
| test_paired | Compare paired before and after numeric measurements |
| test_paired_categorical | Test paired categorical measurements |
| test_proportion | Test a one-sample proportion |
| test_repeated | Run a repeated-measures workflow from wide data |
| test_repeated_categorical | Test repeated categorical measurements |
| test_repeated_long | Run a repeated-measures workflow from long data |
| test_roc | Receiver operating characteristic (ROC) curve workflow |
| test_survival | Kaplan-Meier and log-rank survival workflow |
| test_two_groups | Compare a numeric outcome between two independent groups |