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.