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modelit To Do list

  • 🔥 High Priority: Improve translation management across the package. Currently, multiple calls to gettext() and gettextf() from {svMisc} are used.

  • Introduced the first version of tabularise_***() methods for objects such as lm, nls, and glm, initially designed to generate tables using the {flextable} package. Future versions will support multiple output formats via {flextable}, {tinytable}, and {gt}. To enable this flexibility, a unified internal object structure is being developed to store all relevant metadata (e.g., labels, units, formatting). This structure will allow seamless conversion to different table formats using functions like as_flextable(), as_tinytable(), and as_gt().

  • Implement tabularise_***() methods for enriched model objects: nls_, lm_, summary.lm_, anova_, etc. These methods should leverage the metadata (e.g., labels, units) embedded in the enriched objects to produce consistent and informative tables.

  • Complete the examples sections of the tabularise_***() functions for the following object types: lm, summary.lm, nls, summary.nls,...

  • Implement tabularise_***() methods for merMod and summary.merMod objects (e.g., from lme4::glmer()).

  • Extend tabularise() support for anova and aov objects.

    • Rework the current implementation and determine the appropriate package context ({inferit}, {modelit}, or another).
    • Also consider integration with car::Anova().
    • Note: there is currently no proper tabularise_default() method for aov objects.

  • Develop chart() method for lm objects with categorical predictors (e.g., visualizing factor effects).

  • Add support for multiple comparisons.