NEWS
flexFitR 1.2.2.0001
Bug fixes
- Fixed issue with
plot.performance() when reporting average metrics.
- Fixed minor bugs and issues.
flexFitR 1.2.2 (2026-01-27)
New features
- New functions added:
fn_lpl(), fn_qpl(), fn_qpl().
flexFitR 1.2.1 (2025-11-04)
Changes
compute_tangent() accepts the x argument as data.frame.
Bug fixes
- Fixed issue when
ggplot2 was updated.
- Parallel was not working properly.
flexFitR 1.2.0 (2025-04-16)
New features
compute_tangent() function added to compute tangent line(s) for a modeler object.inverse_predict.modeler() S3 method added to calculate inverse predictions for
modeler objects.update.modeler() S3 method added to refit a model of class modeler.- Adding
fn_lin_logis(), fn_quad_plat() and fn_quad_pl_sm().
predict.modeler() includes parallel and workers to allow for parallel computing.
Changes
- When evaluating several methods in
modeler(), Jacobian and Hessian are
computed only for the best method.
- Now functions are required to be vectorized (faster execution).
- Renaming
fn_lin_plat() function.
- The
modeler() function now uses optimr instead of opm for faster execution.
plot.modeler() includes linewidth argument to increase size in geom lines.
Bug fixes
- Removed methods that required hessian matrix (snewton, snewtonm, snewtm) in
list_methods().
- Fixed issue when combining fitted values in
modeler().
flexFitR 1.1.0 (2025-02-21)
New features
fitted.modeler() S3 method added to extract fitted values from modeler objects.residuals.modeler() S3 method added to extract residuals from modeler objects.augment() function added to calculate influence measures (Cook's distance,
leverage values, standardized residuals, studentized residuals).c.modeler() S3 method added to combine modeler objects.subset.modeler() S3 method added to subset modeler objects.performance() function added to evaluate the performance of several models.plot.performance() S3 method to plot an object of class performance.
Changes
modeler() adds the function name (fn_name) in every output table.modeler() no longer returns function call.plot.modeler() includes add_ribbon_pi and add_ribbon_ci arguments for
prediction and confidence intervals.metrics() returns R2 instead of r_squared.
Bug fixes
- Fixed conflict of
modeler() with upcoming version of future.
- Fixed increase dependency to R (>=4.1).
- Fixed regression function not found in the environment when running in parallel.
flexFitR 1.0.0 (2025-01-20)
flexFitR 0.1.0