ClustImpute 0.2.4
- print()/cat() replaced by message()/warning(), except for print
function
- Improved documentation of return values
ClustImpute 0.2.3
- Title field now in title case to comply with CRAN policies
ClustImpute 0.2.2
- Updated description to fix CRAN NOTE
ClustImpute 0.2.1
- Packages in suggests used conditionally also in the vignette
- Vignettes shows loaded packages
ClustImpute 0.2.0
- It used to be the (strong) recommendation to center the data if a
weight function is used (n_end >1). Now, by default, the scaling with
the weight function is towards the global overall mean of each feature.
Thus, for centered data there is almost no change (due the random
imputation mechanism data with a true unknown mean of zero might have an
empirical mean unequal to zero).
- There is a check if the data is centered, and potentially a
warning.
- Added a plot function for ClustImpute results showing marginal
distributions by cluster and feature. Type histogram and boxplot.
- Added custom print function
- Updated vignette showing new functionality
- All changes above increase dependencies
ClustImpute 0.1.7
- Removed dependency from psych package.
- Added marginal plots to the vignette via ggExtra.
ClustImpute 0.1.6
- Added vignette that describes the algorithm in more detail.
ClustImpute 0.1.5
- Only relevant functions are exported
- Seed for random imputation changes with iteration variables. For
this reason previous results may change slightly.
- Full test coverage
- Added citation
ClustImpute 0.1.4
- There is now a new option assign_with_wf. If set to False, then the
weight function is only applied in the centroid computation, but ignored
in the cluster assignment
- New check for duplicate centroids. Duplicate rows are replaced with
random draws.
- Compatibility with new version 1.2.2 of ClusterR
ClustImpute 0.1.3
ClustImpute 0.1.2
ClustImpute 0.1.1
ClustImpute 0.1.0