v0.1.0

ErrorMetrics v0.1.0

ErrorMetrics.jl — what it is

ErrorMetrics.jl provides a small, dispatch-based API for comparing model outputs with observations using common loss/skill/correlation metrics:

• Canonical call: metric(m, ŷ, y[, yσ])
• Optional yσ allows uncertainty-weighted variants without changing the calling pattern.

v0.1.0 (initial General registration)

• Initial public release of ErrorMetrics.jl
• Metrics included: MSE; NSE/NNSE (and inverse forms); Pearson/Spearman (and squared/normalized variants); uncertainty-aware variants using yσ
• Adds tests + GitHub Actions CI (Julia 1.10/1.11) and TagBot setup