Man pages for ncullen93/abaR
Automated Biomarker Analysis
| aba | Automated biomarker analysis in R |
| aba_adjust | Create an aba_adjust object. |
| aba_control | Create an aba control object. |
| aba_demographics | Create a demographics table from a fitted aba model. |
| aba_diagnosticpower | Caclulate diagnostic power based on a fitted aba model |
| aba_emmeans | Calculated estimated marginal means. |
| aba_evaluate | Evaluate a fitted aba model on new data |
| aba_fit | Fit an aba model. |
| aba_grid | Calculate reference grid from aba model |
| aba_longpower | Run power analysis on a longitudinal-based aba model. |
| aba_model | Create an aba model. |
| aba_plot | Plot an aba object |
| aba_plot_coef | Plot coefficients of an aba model summary |
| aba_plot_metric | Plot metrics of an aba model summary |
| aba_plot_predictor_risk | Plot predictor values versus predicted risk from fitted aba... |
| aba_plot_risk_density | Plot risk density split by binary outcome class |
| aba_plot_roc | Plot ROC curves from an aba model |
| aba_plot_trajectory | Plot trajectories of fitted longitudinal stats |
| aba_predict | Get individual predictions from a fitted aba model |
| aba_read | Read an aba object from file |
| aba_robust | Evaluate the robustness of an aba model to systematic and... |
| aba_screen | Create an aba screen object. |
| aba_selection | Run model selection on an aba model. |
| aba_summary | Summarise a fitted aba model. |
| aba_write | Write an aba object to file. |
| adnimerge | A sample of ADNI data in long format |
| all_combos | Create all possible combinations of a set of variables |
| all_levels | Create groups from all levels of one or more variables |
| as_reactable | Convert an aba summary to a interactive react table |
| as_reactable.abaSummary | Convert an aba summary to a interactive react table |
| as_table | Convert an aba summary to a nicely formatted table |
| as_table.abaSummary | Convert an aba summary to a nicely formatted table |
| eval_boot | Create a bootstrap evaluator |
| eval_cv | Create a cross validation evaluator |
| eval_standard | Create a standard evaluator |
| eval_traintest | Create a train-test evaluator |
| everyone | Use all data rows as a group in an aba model. |
| fit.abaModel | Fit an aba model. |
| pipe | Pipe operator |
| predict.abaModel | Get individual predictions from a fitted aba model |
| reexports | Objects exported from other packages |
| set_covariates | Set the covariates of an aba model. |
| set_data | Set the data of an aba model |
| set_evals | Set the evals of an aba model |
| set_groups | Set the groups of an aba model. |
| set_outcomes | Set the outcomes of an aba model. |
| set_predictors | Set the predictors of an aba model. |
| set_stats | Set the stats of an aba model |
| stat_ancova | Create an ancova stat object. |
| stat_cox | Create a glm stat object. |
| stat_glm | Create a glm stat object. |
| stat_lm | Create an lm stat object. |
| stat_lme | Create an lme stat object. |
| stat_lmer | Create an lmer stat object. |
| stat_mmrm | Create an mmrm stat object. |
| stat_retest | Create a retest stat object. |
| stat_roc | Create a roc stat object. |
| theme_aba | Custom aba ggplot2 theme |
