NEWS

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vismi 0.9.5 (2026-02-03)

Improvements

• Edited examples to reduce running time to pass CRAN submission checks.

vismi 0.9.4

Improvements

• Edited documentation to pass CRAN submission checks.
• Added verbosity option to trelliscope functions.

vismi 0.9.3

Improvements

• Edited Description file to pass CRAN submission checks.
• Edited examples in order to reduce running time to pass CRAN submission checks.

vismi 0.9.2

Improvements

• Provide customisable title and subtitle via title and subtitle arguments in all main functions. By default, uses automatic titles based on selected variables. Can be set to NULL to remove titles.
• Apply default aesthetics settings globally to all visualisations for consistent appearance.

vismi 0.9.1

Bug Fixes

• Resolved issue with overlapping x-axis titles in interactive visualisations.
• Fixed missing legends when certain imputed sets contained no data points.

Improvements

• Adjusted title alignment in interactive visualisations using plotly to match static version with ggplot2 style.
• Ensure display factor levels in a consistent manner
• Moved all axis titles font size and colour settings to the default_aesthetics function to simplify future customisation and maintenance.
• Change default color palette to vismi_palette.

vismi 0.9.0

New Features

• Convergence diagnostics visualisation through converge() function.
• Convergence diagnostics with trelliscope display through converge_trelliscope() function.

vismi 0.8.1

Bug Fixes

• Fixed overlapping issues in interactive visualisation:
  • x-axis title with legend items
  • left and right axis titles in subplots

vismi 0.8.0

New Features

• Support static visualisation for 3 numeric variables and 3 factor variables for vismi.data.frame() method.
• Support interactive visualisation for 3 factor variables for vismi.data.frame() method.
• Added verbose argument to print missing data summary

Refactoring

• Validation checks
• Aesthetics for panel labels and titles

vismi 0.7.0

Deprecations

• Deprecated trelliscopejs_con() and trelliscopejs_cat().

New Features

• ts_overimp() Support showing all overimputation 1D plots for all numeric and factors variables through trelliscopejs

vismi 0.6.0

New Features

• subset imputed datasets for plotting via imp_idx or m argument in vismi() function.

Bug Fixes

• Misalignment issue of using plotly subplots in .plotly_box_facet().

Refactoring

• Refactored other functions.

vismi 0.5.0

Refactoring

• Refactored all overimputation visualisation functions for 1D & 2D.
• overimpute() function refactored to improve code readability and maintainability.
• Added S3 methods for visualising overimputation object.
• Added vismi.data.frame method.
  • vismi(data, imp_list, x, y, z,...) visualises multiple imputed datasets for up to 3 variables.
• Added vismi.overimp method.
  • vismi(obj, x, y, z,...) visualises overimputation results

vismi 0.4.0

New Features

• Added 1D, 2D, and 3D interactive inspection visualisation using plotly.

vismi 0.3.0

New Features

• Added more features for static visualisation usingggplot2.

vismi 0.2.0

Refactoring

• Added preprocessing function
• Default parameters handling
• A high-level main function vismi() will be used to call all other inspection functions.

vismi 0.1.0

Initial Release

• First development version releases on GitHub.
• As illustrated in my PhD thesis.