NEWS
flexFitR 1.1.0.00009
Changes
- Now functions are required to be vectorized (faster execution).
- Renaming
fn_lin_plat() function and adding fn_lin_logis() and fn_quad_plat().
- The
modeler() function now uses optimr instead of opm for faster execution.
plot.modeler() includes linewidth argument to increase size in geom lines.predict.modeler() includes parallel and workers to allow for parallel computing.
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