`evaluate()`

is added. Evaluate your modelâ€™s predictions with the same metrics as used in`cross_validate()`

.Adds

`'multinomial'`

family/type to`baseline()`

and`evaluate()`

.Adds

`multiclass_probability_tibble()`

for generating a random probability tibble.Adds

`random_effects`

argument to`baseline()`

for adding random effects to the Gaussian baseline model.Adds Zenodo DOI for easier citation.

In nested confusion matrices, the Reference column is renamed to Target, to use the same naming scheme as in the nested predictions.

Bug fix: p-values are correctly added to the nested coefficients tibble. Adds tests of this table as well.

Adds extra unit tests to increase code coverage.

When argument

`"model_verbose"`

is`TRUE`

, the used model function is now messaged instead of printed.Adds badges to README, including travis-ci status, AppVeyor status, Codecov, min. required R version, CRAN version and monthly CRAN downloads. Note: Zenodo badge will be added post release.

- Unit tests have been made compatible with
`R v. 3.5`

Adds optional parallelization.

Results now contain a count of singular fit messages. See

`?lme4::isSingular`

for more information.Argument

`"positive"`

changes default value to 2. Now takes either 1 or 2 (previously 0 and 1). If your dependent variable has values 0 and 1, 1 is now the positive class by default.AUC calculation has changed. Now explicitly sets the direction in

`pROC::roc`

.Unit tests have been updated for the new random sampling generator in

`R 3.6.0`

. They will NOT run previous versions of R.Adds

`baseline()`

for creating baseline evaluations.Adds

`reconstruct_formulas()`

for reconstructing formulas based on model definition columns in the results tibble.Adds

`combine_predictors()`

for generating model formulas from a set of fixed effects.Adds

`select_metrics()`

for quickly selecting the metrics and model definition columns.Breaking change: Metrics have been rearranged and a few metrics have been added.

Breaking change: Renamed argument

`folds_col`

to`fold_cols`

to better fit the new repeated cross-validation option.New: repeated cross-validation.

Created package :)