easysurv (version 2.0.1)

predict_and_plot: Predict and Plot Fitted Models

Description

This function generates survival and hazard predictions and plots for each model in a fit_models object. Optionally, interactive plotly outputs can be added for each plot.

Usage

predict_and_plot(
  fit_models,
  eval_time = NULL,
  km_include = TRUE,
  subtitle_include = TRUE,
  add_plotly = FALSE
)

Value

A list of predictions and plots for each model in the fit_models object.

Arguments

fit_models

An object returned from fit_models.

eval_time

(Optional) A vector of evaluation time points for generating predictions. Default is NULL, which if left as NULL, generates a sequence from 0 to 5 times the maximum observed time.

km_include

A logical indicating whether to include Kaplan-Meier estimates in the plot outputs. Default is TRUE.

subtitle_include

A logical indicating whether to include the subtitle. Default is TRUE. The subtitle is the name of the group.

add_plotly

A logical indicating whether to add interactive plotly outputs for each plot. Default is FALSE.

Examples

models <- fit_models(
  data = easysurv::easy_bc,
  time = "recyrs",
  event = "censrec",
  predict_by = "group"
)

predict_and_plot(models)