Function reference • aba

All functions

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 model

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 random error.

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.

predict(<abaModel>): Get individual predictions from a fitted aba model

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