| add_cif | Add cumulative incidence function to data |
| add_counterfactual_transitions | Add counterfactual observations for possible transitions |
| add_hazard | Add predicted (cumulative) hazard to data set |
| add_inspections | Turn exact event times into interval-censored observations |
| add_surv_prob | Add survival probability estimates |
| add_tdc | Add time-dependent covariate to a data set |
| add_term | Embeds the data set with the specified (relative) term... |
| add_trans_ci | Add transition probabilities confidence intervals |
| add_trans_prob | Add transition probabilities |
| as.data.frame.crps | Transform crps object to data.frame |
| as_ped | Transform data to piece-wise exponential data (PED) |
| as_ped_cr | Competing risks trafo |
| calc_ci | Calculate confidence intervals |
| combine_df | Create a data frame from all combinations of data frames |
| compute_cumu_diff | Calculate difference in cumulative hazards and respective... |
| cumulative_coefficient | Extract cumulative coefficients (cumulative hazard... |
| daily | Time-dependent covariates of the 'patient' data set. |
| dplyr_verbs | 'dplyr' verbs for 'ped'-objects |
| elra_matrix | Create matrix components for cumulative effects |
| fcumu | A formula special used to handle cumulative effect... |
| formula_helpers | Extract variables from the left-hand-side of a formula |
| from_to_pairs | Extract transition information from different objects |
| geom_hazard | (Cumulative) (Step-) Hazard plots. |
| geom_stepribbon | Step ribbon plots. |
| get_cif | Calculate CIF for one cause |
| get_coefs | Extract model coefficients on the scale of the design matrix |
| get_cumu_eff | Calculate (or plot) cumulative effect for all time-points of... |
| get_cumu_hazard | Calculate cumulative hazard |
| get_cumulative | Expand time-dependent covariates to functionals |
| get_cut | Obtain interval break points |
| get_event_types | Extract event types |
| get_hazard | Point hazard predictor (backend primitive) |
| get_intervals | Information on intervals in which times fall |
| get_laglead | Construct or extract data that represents a lag-lead window |
| get_ped_form | Extract variables from the left-hand-side of a formula |
| get_plotinfo | Extract plot information for all special model terms |
| get_sim_ci | Calculate simulation based confidence intervals |
| get_smooth_terms | Enumerate plottable univariate smooth terms of a fitted model |
| get_surv_prob | Calculate survival probabilities |
| get_tdc_form | Extract variables from the left-hand-side of a formula |
| get_tdc_vars | Extract variables from the left-hand-side of a formula |
| get_term | Extract the partial effect of a single smooth curve |
| get_term_legacy | Extract a partial effect for models without a '$smooth'... |
| get_terms | Extract the partial effects of univariate smooth model terms |
| get_Vp | Extract the (Bayesian) covariance matrix of the model... |
| gg_fixed | Forrest plot of fixed coefficients |
| gg_laglead | Plot lag-lead windows |
| gg_partial | Visualize effect estimates for specific covariate... |
| gg_re | Plot Normal QQ plots for random effects |
| gg_slice | Plot 1D (smooth) effects |
| gg_smooth | Plot smooth 1d terms of gam objects |
| gg_state_occupation | Plot state occupation probabilities |
| gg_tensor | Plot tensor product effects |
| has_tdc | Checks if data contains time-dependent covariates |
| hazard_ci | Analytic hazard with confidence interval (coefficient models) |
| ic_pred_cache | Build the subject-by-interval prediction grid used for IC... |
| impute_ic_cr | Draw event times and causes for interval-censored... |
| impute_ic_times | Draw event times for interval-censored subjects from the... |
| interval_censored | Detect, parse and transform interval-censored survival data |
| int_info | Create start/end times and interval information |
| make_X | Create design matrix from a suitable object |
| make_X.scam | Create design matrix from a suitable object |
| modus | Calculate the modus |
| nest_tdc | Create nested data frame from data with time-dependent... |
| newdata | Construct a data frame suitable for prediction |
| nuclear | Time until nuclear power plant construction in different... |
| pamm | Fit a piece-wise exponential additive model |
| pamm_ic | Fit a PAMM to interval-censored data via multiple imputation |
| pamm_ic_cr | Fit a competing-risks PAMM to interval-censored data via... |
| pamm_ic_pooling | Pooling of multiple-imputation PAMM fits |
| pammtools | pammtools: Piece-wise exponential additive mixed modeling... |
| parse_by_level | Parse the factor level from a factor-by smooth label |
| patient | Survival data of critically ill ICU patients |
| ped_info | Extract interval information and median/modus values for... |
| pipe | Pipe operator |
| pool_pamm_fits | Pool a list of (stripped) imputation fits into a pooled... |
| predictSurvProb.pamm | S3 method for pamm objects for compatibility with package pec |
| prep_concurrent | Extract information on concurrent effects |
| reconstruct_cutpoints | Ensure all breakpoints are present in newdata for cumulative... |
| reconstruct_intlen | Reconstruct intlen from time variable and stored cut points |
| resolve_terms | Resolve requested terms against the model's plottable smooths |
| rpexp | Draw random numbers from piece-wise exponential distribution. |
| sample_coefs | Draw coefficients from their approximate posterior... |
| sample_info | Extract information of the sample contained in a data set |
| seq_range | Generate a sequence over the range of a vector |
| simdf_elra | Simulated data with cumulative effects |
| sim_hazard | Draw hazard trajectories from a model's sampling distribution |
| sim_pexp | Simulate survival times from the piece-wise exponential... |
| sim_pexp_cr | Simulate data for competing risks scenario |
| smooth.construct.fdl.smooth.spec | New basis for penalized lag selection |
| smooth_term_rows | Turn a single mgcv smooth into zero or more curve... |
| specials | Formula specials for defining time-dependent covariates |
| split_data | Function to transform data without time-dependent covariates... |
| split_data_multistate | Split data to obtain recurrent event data in PED format |
| staph | Time until staphylococcus aureaus infection in children, with... |
| stop_if_undergrouped_for_cumulation | Guard against silently-wrong cumulative results from... |
| strip_pamm_fit | Slim down a fitted PAMM for storage inside a 'pamm_ic' object |
| tidiers | Extract 1d smooth objects in tidy data format. |
| tidy_fixed | Extract fixed coefficient table from model object |
| tidy_smooth | Extract random effects in tidy data format. |
| tidy_smooth2d | Extract 2d smooth objects in tidy format. |
| tumor | Stomach area tumor data |
| warn_about_new_time_points | Warn if new t_j are used |
| warn_about_new_time_points.glm | Warn if new t_j are used |
