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.