plot_squares: Plot squared errors between the outcome and observed...

In PiotrTymoszuk/coxExtensions: Extended Inference and Goodness of Fit for Cox Models

Plot squared errors between the outcome and observed survival.

Description

Generates a series of plots of averaged squared errors as a function of unique time points, observations, and unique values of the linear predictor scores.

Usage

plot_squares(
  cal_object,
  palette = c(reference = "gray60", model = "coral3"),
  show_reference = TRUE,
  error_stat = c("none", "se", "2se", "95perc"),
  ribbon_alpha = 0.25,
  line_width = 0.5,
  point_size = 2,
  cust_theme = ggplot2::theme_classic(),
  ...
)

Arguments

cal_object	a 'calibrator' class object.
palette	color palette.
show_reference	logical, should averaged squared errors be displayed for the reference (NULL model)? Defaults to TRUE.
error_stat	error statistic to be presented as a ribbon, defaults to none.
ribbon_alpha	alpha of the ribbon representing the requested error.
line_width	width of the lines connecting the data points.
point_size	size of the data points.
cust_theme	custom ggplot theme.
...	extra arguments, currently none.

Details

Intended for internal use. Mean values are presented as points connected with lines. Optional error region is shown as a ribbon.

Value

a list of ggplot objects.

PiotrTymoszuk/coxExtensions documentation built on Feb. 6, 2024, 10:58 p.m.