plot_weight_schemes: Plot weight schemes for survival analysis

In weightedsurv: Survival Analysis with Subject-Specific (Case Weights) and Time-Dependent Weighting

Plot weight schemes for survival analysis

Description

Plots the weights for different schemes over time using ggplot2.

Usage

plot_weight_schemes(
  dfcount,
  tte.name = "time_months",
  event.name = "status",
  treat.name = "treat",
  arms = c("treat", "control"),
  weights_spec_list = list(`MB(12)` = list(scheme = "MB", mb_tstar = 12), `MB(6)` =
    list(scheme = "MB", mb_tstar = 6), `FH(0,1)` = list(scheme = "fh", rho = 0, gamma =
    1), `FH(0.5,0.5)` = list(scheme = "fh", rho = 0.5, gamma = 0.5), custom_time =
    list(scheme = "custom_time", t.tau = 25, w0.tau = 1, w1.tau = 1.5), FHexp2 =
    list(scheme = "fh_exp2")),
  custom_colors = c(`FH(0,1)` = "grey", FHexp2 = "black", `MB(12)` = "#1b9e77", `MB(6)` =
    "#d95f02", `FH(0.5,0.5)` = "#7570b3", custom_time = "green"),
  custom_sizes = c(`FH(0,1)` = 2, FHexp2 = 1, `MB(12)` = 1, `MB(6)` = 1, `FH(0.5,0.5)` =
    1, custom_time = 1),
  transform_fh = FALSE,
  rescheme_fhexp2 = TRUE
)

Arguments

dfcount	Data frame containing counting process results, including time points and survival probabilities.
tte.name	Name of the time-to-event variable (default: 'time_months').
event.name	Name of the event indicator variable (default: 'status').
treat.name	Name of the treatment group variable (default: 'treat').
arms	Character vector of group names (default: c('treat', 'control')).
weights_spec_list	List of weighting scheme specifications.
custom_colors	Named character vector of colors for each scheme.
custom_sizes	Named numeric vector of line sizes for each scheme.
transform_fh	Logical; whether to transform FH weights (default: FALSE).
rescheme_fhexp2	Logical; whether to rescheme FHexp2 and custom_time (default: TRUE).

Details

This function visualizes the weights used in various survival analysis schemes (e.g., FH, MB, custom) using ggplot2. Facets and colors are customizable.

Value

A ggplot object showing the weight schemes over time.

weightedsurv documentation built on Dec. 23, 2025, 1:07 a.m.