diagnostics: Comprehensive Diagnostic Evaluation

In laurieKell/FLCandy: Candidate methods for FLR

Comprehensive Diagnostic Evaluation

Description

Integrates multiple performance metrics for stock assessment model validation.

Usage

diagnostics(obs, hat, ndemb = 5)

Arguments

obs	Numeric vector of observed values
hat	Numeric vector of predicted values
ndemb	Embedding dimension for permutation entropy calculation (default=5)

Value

Data.frame containing 10 diagnostic metrics. Final classification currently non-functional.

Note

Requires helper functions: stdz(), permutation_entropy(), ordinal_pattern_distribution()

Examples

obs <- runif(100, 0.8, 1.2)
hat <- obs * exp(rnorm(100, sd=0.15))
diagnostics(obs, hat)

laurieKell/FLCandy documentation built on April 17, 2025, 5:23 p.m.