NEWS.md

In topmodels: Infrastructure for Forecasting and Assessment of Probabilistic Models

topmodels 0.2-0

• Version, presented at DAGStat 2022.

• Some conceptual changes in the generation of graphical evaluation tools for both base R and ggplot2 style graphics.

• autoplot() builds now on newly written geom_*() and stat_*() functions.

topmodels 0.1-0

• First version, presented at useR! 2021.

• Diagnostic graphics for Q-Q plots of randomized residuals, PIT (probability integral transform) histograms, reliability diagrams, wormplots, and rootograms. All graphical evaluations can be rendered both in base R graphics and ggplot2.

• Basic probabilistic forecasting infrastructure for lm, crch, disttree and glm model classes. Not all families and forecasting types are fully supported yet.

topmodels documentation built on Sept. 10, 2022, 3 p.m.