volker 3.2.0
- Implemented linear modeling in add_model()including
effect sizes, standardised betas and adjusted p values
- Implemented reliability calculation and classification performance
indicators in agree_tab()
- Implemented cooccurrence analysis: report_counts()generates heatmaps (tiles-parameter) and npmi values
(method-parameter).
- Option to keep missings if possible by setting
options(vlkr.na.omit=FALSE)(pairwise instead of listwise
handling of missings)
volker 3.1.0
- SPSS labels are now supported
- In plot functions, the width of bars and columns is calculated from
data (similar to mosaic plots)
- The tables now have a row for totals
- Improved error messages
- model_metrics_tab()and- model_metrics_plot()provide a first draft of lm
analysis
volker 3.0.0
- Implemented cluster and factor analysis
volker 2.1.0
- Implemented missing plot, tab, and effect functions
- Implemented PDF and Word rendering
- Improve handling of residual values and respective configuration
options
volker 2.0.1
volker 2.0.0
- Added effect size calculation and statistical tests
- Added theme support for colors and other design elements
- Reorganised parameters
- Revised documentation
volker 1.0.2
- Fixed documentation and coding style issues
volker 1.0.1
- Revised plot height calculation
 
- Removed links to unused vignettes from the readme.md
 
- Fixed some typos
volker 1.0.0
- Removed deprecated beta functions. The beta version is freezed in
the beta branch on GitHub.
- Removed tests that rely on system settings (plot rendering and HTML
line endings)
- Initial CRAN submission.