cr_survreg: Easy interface for parametric competing-risks...
In jwdink/tidysurv: Tidy survival models

Easy interface for parametric competing-risks survival-regression

cr_survreg(time_col_name, event_col_name, data, list_of_list_of_args,
  time_lb_col_name = NULL, time_dependent_config = list(time_start_col_name
  = NULL, id_col_name = NULL, time_dependent_col_names = NULL),
  method = "flexsurvreg")

`time_col_name`	A character indicating the column-name of the 'time' column.
`event_col_name`	A character indicating the column-name for events. The values in this column (either factor or character), should match the names of the `list_of_list_of_args`, except for the value indicating censoring.
`data`	A dataframe.
`list_of_list_of_args`	A list, whose names correspond to each possible type of event. These should correspond to the values in the `event_col_name` column. The elements of this list are themselves lists- arguments to be passed to the survival-regression modelling function (as specified by `method`- currently only `flexsurvreg` is supported).
`time_lb_col_name`	Optional. A character indicating the column-name of the time 'lower-bound'. See the vignette for details.
`time_dependent_config`	If your data is in a 'counting process' format (i.e., there are multiple rows per 'person', with a 'start' column specifying right-truncation), you should supply this. A list with three entries: 'time_start_col_name', 'id_col_name', and 'time_dependent_col_names'.
`method`	A character string naming the function to be called for survival-regression modelling. Currently only supports `flexsurvreg`.