| ascentTraining-package | Ascent Training Datasets |
| ascentTraining | Ascent Training Datasets |
| auto_mpg | Auto MPG Data Set |
| bbc_articles | BBC articles data |
| bbc_articles_full | Full BBC Articles data |
| bbc_business_123 | BBC Business article data |
| bbc_politics_123 | BBC Politics article data |
| body_image | Body image dataset |
| book_sections | Gutenberg Project books dataset |
| boston | Boston housing dataset |
| breast_cancer | Wisconsin Diagnostic Breast Cancer (WDBC) |
| breast_cancer_clean_features | Wisconsin Breast Cancer Database |
| breast_cancer_clean_target | Wisconsin Breast Cancer Database |
| carriers | Carrier data |
| commute | R For Data Science tidytuesday commute dataset |
| demoData | Demographics data |
| demo_data | Demographics data |
| dowJonesData | Dow Jones Index Data |
| dow_jones_data | Dow Jones Index Data |
| drugs | Repeated Measures Drug data |
| emaxData | Data that can be used to fit or plot Emax models |
| emax_data | Data that can be used to fit or plot Emax models |
| emax_fun | Function to calculate Emax |
| logistic_fun | Function to fit logistic model |
| messyData | Messy clinical trial data |
| messy_data | Messy clinical trial data |
| missingPk | Clinical trial data |
| missing_pk | Clinical trial data |
| pkData | Typical PK data |
| pk_data | Typical PK data |
| policyData | Insurance Policy Data |
| policy_data | Insurance Policy Data |
| qtpk2 | Typical PK data |
| runData | An example of NONMEM run data |
| run_data | An example of NONMEM run data |
| students | Students simulated data |
| tubeData | London Tube Performance data |
| tube_data | London Tube Performance data |
| xpData | Typical NONMEM data |
| xp_data | Typical NONMEM data |
| x_iris | Iris predictors data for Species classification |
| y_iris | Iris class data for Species classification |