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| pammtools-package | pammtools: Piece-wise exponential Additive Mixed Modeling tools. |
| add_cumu_hazard | Add predicted hazard to data set |
| add_hazard | Add predicted hazard to data set |
| add_surv_prob | Add survival probability estimates to data set |
| add_term | Add info about term effects to data set |
| combine_df | Combines multiple data frames |
| fill | 'tidyr' Verbs for 'ped'-Objects |
| fill.ped | 'tidyr' Verbs for 'ped'-Objects |
| fill_ | 'tidyr' Verbs for 'ped'-Objects |
| GeomStepribbon | Step ribbon plots. |
| geom_stepribbon | Step ribbon plots. |
| get_intervals | Information on intervals in which times fall |
| get_intervals.default | Information on intervals in which times fall |
| get_plotinfo | Extract plot information for all special model terms |
| get_terms | Extract the partial effects of non-linear model terms |
| gg_fixed | Forrest plot of fixed coefficients |
| gg_re | Plot Normal QQ plots for random effects |
| gg_tensor | Plot tensor product effects |
| int_info | Create start/end times and interval information |
| int_info.default | Create start/end times and interval information |
| int_info.pamm | Create start/end times and interval information |
| int_info.ped | Create start/end times and interval information |
| make_newdata | Construct a data frame suitable for prediction |
| make_newdata.default | Construct a data frame suitable for prediction |
| make_newdata.ped | Construct a data frame suitable for prediction |
| pammtools | pammtools: Piece-wise exponential Additive Mixed Modeling tools. |
| ped_info | Extract interval information and median/modus values for covariates |
| plot_df | Extract information for plotting step functions |
| riskset_info | Extract risk set information for each interval. |
| sample_info | Extract information of the sample contained in a data set |
| sample_info.data.frame | Extract information of the sample contained in a data set |
| sample_info.ped | Extract information of the sample contained in a data set |
| split_data | Function to transform data without time-dependent covariates into piece-wise exponential data format |
| split_tdc | Create piece-wise exponential data in case of time-dependent covariates |
| tidyr_verbs | 'tidyr' Verbs for 'ped'-Objects |
| tidy_re | Extract random effects objects in tidy data format. |
| tidy_smooth | Extract 1d smooth objects in tidy data format. |
| tidy_smooth2d | Extract 2d smooth objects in tidy format. |