summary.net_hypa: Summary Method for net_hypa

In Nestimate: Network Estimation, Bootstrap, and Higher-Order Analysis

Summary Method for net_hypa

Description

Summary Method for net_hypa

Usage

## S3 method for class 'net_hypa'
summary(
  object,
  n = 10L,
  type = c("all", "over", "under"),
  order_by = c("sig", "freq", "frequency", "ratio", "path"),
  ...
)

Arguments

object	A net_hypa object.
n	Integer. Maximum number of paths to display per category (default: 10).
type	Character. Which anomalies to show: "all" (default), "over", or "under".
order_by	Character. Ranking used within each anomaly direction: "sig" ranks by the active tail probability, "freq" by observed count, "ratio" by observed/expected ratio, and "path" alphabetically.
...	Additional arguments (ignored).

Value

A data frame with path, observed, expected, ratio, p_tail, and direction columns.

Examples

seqs <- list(c("A","B","C"), c("B","C","A"), c("A","C","B"), c("A","B","C"))
hyp <- build_hypa(seqs, k = 2)
summary(hyp)


seqs <- data.frame(
  V1 = c("A","B","C","A","B","C","A","B","C","A"),
  V2 = c("B","C","A","B","C","A","B","C","A","B"),
  V3 = c("C","A","B","C","A","B","C","A","B","C"),
  V4 = c("A","B","C","A","B","C","A","B","C","A")
)
hypa <- build_hypa(seqs, k = 2L)
summary(hypa)
summary(hypa, type = "over", n = 5)

Nestimate documentation built on July 11, 2026, 1:09 a.m.