as_ped | Transform data to Piece-wise Exponential Data (PED) |
combine_cut | Extract unique cut points when time-dependent covariates... |
combine_df | Create a data frame from all combinations of data frames |
daily | Time-dependent covariates of the 'patient' data set. |
dplyr_verbs | 'dplyr' Verbs for 'ped'-Objects |
elra_matrix | Create matrix components for cumulative effects |
formula_helpers | Extract variables from the left-hand-side of a formula |
get_cumulative | Expand time-dependent covariates to functionals |
get_cut | Obtain interval break points |
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_tdc | Extract time-dependent covariates from data set |
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 |
gg_laglead | Plot Lag-Lead windows |
has_tdc | Extract time-dependent covariates from data set |
int_info | Create start/end times and interval information |
modus | Calculate the modus |
nest_tdc | Create nested data frame from data with time-dependent... |
newdata | Construct a data frame suitable for prediction |
patient | Survival data of critically ill ICU patients |
ped_info | Extract interval information and median/modus values for... |
pipe | Pipe operator |
prep_concurrent | Extract information on concurrent effects |
riskset_info | Extract risk set information for each interval. |
sample_info | Extract information of the sample contained in a data set |
seq_range | Generate a sequence over the range of a vector |
sim_df3 | Simulated data with cumulative effects |
specials | Formula specials for defining time-dependent covariates |
split_data | Function to transform data without time-dependent covariates... |
tidyr_verbs | 'tidyr' Verbs for 'ped'-Objects |
tumor | Stomach area tumor data |
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