Run reduction pipeline for all item types

Usage

run_item_reduction_pipeline(
  embedding_matrix,
  items,
  EGA.model = NULL,
  EGA.algorithm = "walktrap",
  EGA.uni.method = "louvain",
  corr = "auto",
  ncores = NULL,
  boot.iter = 500,
  uva.cut.off = 0.2,
  keep.org,
  silently,
  plot
)

Arguments

embedding_matrix: Full embedding matrix (columns = all items)
items: Data frame of all items (must include ID, statement, attribute, type)
EGA.model: NULL, "glasso", or "TMFG"
EGA.algorithm: EGA algorithm
EGA.uni.method: EGA uni.method
corr: Character. Correlation method. Default "auto" uses EGAnet's automatic detection.
ncores: Numeric. Number of cores for parallel processing.
boot.iter: Numeric. Number of bootstrap iterations. Default 500.
uva.cut.off: Numeric in [0, 1). wTO threshold for EGAnet::UVA. Default 0.20.
keep.org: Logical. Whether to include original items and embeddings
silently: Logical. Whether to print progress statements
plot: Logical. Whether to plot the network plots at the end

Value

A named list of pipeline results, one per item type