Visualize Network Geometry — create_network

Creates a network graph visualization showing the structure of treatment comparisons in a network meta-analysis.

Usage

create_network_plot(
  nma_result,
  node_size = c("equal", "n_studies", "n_patients"),
  edge_width = c("n_studies", "equal"),
  show_labels = TRUE,
  highlight_ref = TRUE,
  title = "Network Geometry",
  layout = c("circle", "star", "auto"),
  palette = NULL,
  base_size = 11
)

Arguments

nma_result: Result from network_meta() or data with network structure
node_size: Character. Size nodes by "equal", "n_studies", or "n_patients". Default: "equal"
edge_width: Character. Width edges by "equal" or "n_studies". Default: "n_studies"
show_labels: Logical. Show edge labels with study counts. Default: TRUE
highlight_ref: Logical. Highlight reference treatment. Default: TRUE
title: Character. Plot title. Default: "Network Geometry"
layout: Character. Layout algorithm: "circle", "star", "auto". Default: "circle"
palette: Character vector. Node colors. Default: NULL
base_size: Numeric. Base font size. Default: 11

Value

A ClinicalPlot object containing the network graph

Examples

# Network geometry visualization
nma_data <- data.frame(
  study = c("S1", "S2", "S3"),
  treat1 = c("A", "B", "A"),
  treat2 = c("B", "C", "C"),
  effect = log(c(0.75, 0.90, 0.80)),
  se = c(0.12, 0.15, 0.18)
)
nma_result <- network_meta(nma_data, effect_measure = "hr")
plot <- create_network_plot(nma_result, title = "Treatment Network")
plot@type
#> [1] "network_geometry"