plot_fit_data: Plot fit data
In MattWiener/heemodFits: Using Survival Fits with Heemod

Plot fit data

plot_fit_data(data_to_plot, plot_type = c("survival", "cumulative hazard",
  "log cumulative hazard"), plot_groups = NULL, groups = "dist",
  scale_time = 1, time_label = "time", max_scaled_time = Inf,
  title = NULL, x_axis_gap, legend_loc = "right", logy = NULL,
  km_width = 1.25, label_size = 1.25, silence_warnings = FALSE)

`data_to_plot`	a data frame from `prepare_plot_data_from_fit_tibble()`
`plot_type`	`survival` or `cumulative hazard`
`plot_groups`	which groups should be included in the plot. If NULL, all distributions in the data are included.
`groups`	column name to use for grouping.
`scale_time`	times are multiplied by this. So if your fit was done on a time scale of days, and you want to plot by weeks, set this to 1/7.
`time_label`	the `x` axis label
`max_scaled_time`	maximum time, after scaling by `scale_time`
`title`	for the plot
`x_axis_gap`	distance between breaks on the x axis
`legend_loc`	location for legend - "top", "bottom", "left", or "right"
`logy`	should the `y` axis be on the logarithmic scale? By default, it is TRUE for survival curves and FALSE for cumulative hazard.
`km_width`	width for the Kaplan-Meier curve line; approximately 0.5 seems to be the standard width for lines
`label_size`	relative multiplier for label size.
`silence_warnings`	suppresses certain warnings