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flexFitR 1.2.1

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

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

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

flexFitR 0.1.0

• Initial CRAN submission.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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