Changes in version 0.1.0 (2026-10-18) - Added selectable ewma, arima, arfima, and structural baseline engines. ARIMA, ARFIMA, and structural specifications can be selected on the initial training window and are refitted causally at rolling origins. - Replaced duplicated output aliases with one compact structure. Fitted objects now expose only forecast, evaluation, calibration, model, and metadata; every forecast model owns its summary, samples, and pred_fun. Predictions return forecast plus metadata. - Made NAMESPACE reproducible with roxygen export/import tags, preserving hand-written help pages; renamed unused legacy helpers to avoid false S3 method declarations and added registration tests. - Isolated test fixtures inside each test so restored workspace objects such as an older fit cannot override fixtures during devtools::test(). - Expanded marginal-function tests across all models and horizons; separated Windows source-loader limitations from installed-package parallel tests. CI now installs test dependencies and enables the parallel comparison. - Grouped predictive functions in pred_fun with explicit calibrated, baseline, and uncalibrated groups on fits and prediction results. - Unified fitted and updated forecasts with named model outputs and explicit scale metadata. Corrected log-CDF boundary values and single-horizon baseline matrix dimensions. - Added testthat coverage for the output schema and prediction behavior. - Added the direct-level engine with EWMA state tracking, direct multi-step ELM forecasts, spectral calibration, optional log transformation, and named horizon marginal functions. - Initial package release of local latent flow forecasting. - Registered print, predict, and plot methods for flowz. - Complete reference documentation and an executable introductory vignette. - Regression tests for fitting, prediction, distributions, log-scale summaries, input validation, and serialization. - Parallel execution by default with at most two automatic workers; quiet, non-plotting defaults. - Corrected recursive prediction defaults and original-scale summary moments for log-transformed fits. - Expanded parameter and method help, runnable examples, and a practical vignette covering evaluation limits and computational settings.