%!in% | Value matching |
abort_argument | Abort based on issues with function argument |
abort_argument_class | Abort based on issues with function argument |
abort_argument_diff_length | Abort based on issues with function argument |
abort_argument_length | Abort based on issues with function argument |
abort_argument_type | Abort based on issues with function argument |
abort_argument_value | Abort based on issues with function argument |
abort_column_not_found | Abort based on column not being found in a data frame |
abort_no_method_for_class | Abort method if class is not implemented |
abort_package_not_installed | Abort if required package is not installed |
accuracy | Model accuracy |
accuracy.default | Model accuracy |
accuracy.lm | Model accuracy |
accuracy.lmerMod | Model accuracy |
accuracy.lvmisc_cv | Model accuracy |
as_percent | 'percent' vector |
bias | Bias |
bmi | Compute body mass index (BMI) |
bmi_cat | Classify body mass index (BMI) category |
center_variable | Center variable |
cl | Clear the console |
clean_observations | Clean observations |
compare_accuracy | Compare models accuracy |
create_proj | Create a project |
divide_by_quantile | Divide variable based on quantiles |
error | Error |
error_abs | Absolute error |
error_abs_pct | Absolute percent error |
error_pct | Percent error |
error_sqr | Squared error |
get_cv_fixed_eff | Extract information from the trained models from a cross-validation |
get_cv_r2 | Extract information from the trained models from a cross-validation |
is_outlier | Check whether value is outlier |
is_percent | 'percent' vector |
le | Last error |
lna | Number of elements in a vector. |
loa | Limits of agreement |
loo_cv | Leave-one-out cross-validation |
loo_cv.default | Leave-one-out cross-validation |
loo_cv.lm | Leave-one-out cross-validation |
loo_cv.lmerMod | Leave-one-out cross-validation |
lt | Last error |
lunique | Number of elements in a vector. |
mean_error | Mean error |
mean_error_abs | Mean absolute error |
mean_error_abs_pct | Mean absolute percent error |
mean_error_pct | Mean percent error |
mean_error_sqr | Mean square error |
mean_error_sqr_root | Root mean square error |
notin | Value matching |
pa | Print all rows of a data frame or tibble |
percent | 'percent' vector |
percent_change | Computes the percent change |
plots | Quick plotting |
plot_bland_altman | Create a Bland-Altman plot |
plot_hist | Quick plotting |
plot_line | Quick plotting |
plot_model | Plot model diagnostics |
plot_model_cooks_distance | Plot model diagnostics |
plot_model_multicollinearity | Plot model diagnostics |
plot_model_qq | Plot model diagnostics |
plot_model_residual_fitted | Plot model diagnostics |
plot_model_scale_location | Plot model diagnostics |
plot_qq | Quick plotting |
plot_scatter | Quick plotting |
r2 | Compute R squared |
r2.default | Compute R squared |
r2.lm | Compute R squared |
r2.lmerMod | Compute R squared |
repeat_baseline_values | Repeat baseline levels |
tb | Capture a backtrace |
vif | Variance inflation factor |
vif.default | Variance inflation factor |
vif.lm | Variance inflation factor |
vif.lmerMod | Variance inflation factor |