CI_Method: Conservativeness Index (CI) for individual tracer evaluation

In OceanTracer: Marine Source Unmixing Toolkit

Conservativeness Index (CI) for individual tracer evaluation

Description

Quantifies how consistently each tracer constrains the mixture apportionment when paired with randomly chosen complementary tracers.

Usage

CI_Method(
  data,
  points = 2000,
  Means = NULL,
  triangles = "virtual",
  seed = 123456L
)

Arguments

data	Data frame in standard OceanTracer format (sources + mixture).
points	Integer. Number of Monte Carlo draws per tracer. Default 2000.
Means	Logical or NULL (default). Auto-detected if NULL.
triangles	Character. Strategy to select accompanying tracers ("virtual" or "dataset").
seed	Integer. Random seed for reproducibility. Default 123456L.

Value

A list containing tracer output data frames, the original dataset, and the final summary CI index table.

OceanTracer documentation built on Oct. 15, 2026, 5:09 p.m.