bootstrap_cliques: Bootstrap Cliques of Transition Networks from Sequence Data
In tna: Transition Network Analysis (TNA)

bootstrap_cliques

R Documentation

Bootstrap Cliques of Transition Networks from Sequence Data

Description

Bootstrap Cliques of Transition Networks from Sequence Data

Usage

bootstrap_cliques(x, size, threshold, iter, level, consistency_range)

## S3 method for class 'tna'
bootstrap_cliques(
  x,
  size = 2L,
  threshold = 0,
  iter = 1000,
  level = 0.05,
  consistency_range = c(0.75, 1.25)
)

Arguments

`x`	A `tna` or a `group_tna` object.
`size`	An `integer` specifying the size of the cliques to identify. Defaults to `2` (dyads).
`threshold`	A `numeric` value that sets the minimum edge weight for an edge to be considered in the clique. Edges below this value are ignored. Defaults to `0`.
`iter`	An `integer` specifying the number of bootstrap samples to draw. Defaults to `1000`.
`level`	A `numeric` value representing the significance level for hypothesis testing and confidence intervals. Defaults to `0.05`.
`consistency_range`	A `numeric` vector of length 2. Determines how much the edge weights may deviate (multiplicatively) from their observed values (below and above) before they are considered insignificant. The default is `c(0.75, 1.25)` which corresponds to a symmetric 25% deviation range. Used only when `method = "stability"`.