NEWS

r4pde 0.2.0

Refactored the monolithic compare_curves() workflow into a modular functional analysis API.
compare_curves() is now a soft-deprecated wrapper around the new modular functions.

functional_pca(): Performs functional principal component analysis on fitted disease progress curves to decompose variation among epidemic trajectories into orthogonal temporal components. Includes plotting and extractor functions.
functional_curves(): Fits genotype-specific epidemic trajectories using GAM, with support for genotype-level covariates.
functional_distances(): Computes pairwise functional distances among fitted curves and performs hierarchical clustering and permutation testing.
functional_resistance(): Calculates Functional Resistance Index (FRI) and Stability-Adjusted Functional Resistance Index (SAFRI) with support for stratified rankings and bootstrap-supported classification.
suggest_k(): Helper function to recommend GAM smoothing parameters (k_smooth, k_trt, k_env, gamma) based on data structure; supports tidy-eval column names and can infer replication from a data frame.

Added support for genotype-level auxiliary covariates (e.g., heading_group) to adjust functional curves and resistance rankings, allowing for better distinction between genetic resistance and phenological escape.
Improved bootstrap methodology for resistance classification with support for stratified group comparisons.
Updated diagnose_curves(), plot_curves(), and plot_dendrogram() to support the new functional analysis object classes.

Added functional_instability() for computing normalized functional instability (NFI) of genotype-by-environment epidemic curves, with optional decomposition into spatial and temporal components.
Added plot_functional_instability() for visualizing overall, spatial, and temporal NFI results as bar charts.

Added get_era5() for retrieving ERA5 reanalysis weather data via Open-Meteo API.
Added get_brdwgd() for extracting daily weather data from the Brazilian Daily Weather Gridded Data (BR-DWGD) NetCDF files.
Added compare_curves() for functional comparison and clustering of epidemic curves.
Added plotting and diagnostic helpers for curve models.