monoClust 1.2.1

Bugs and Improvements

• MonoClus(): default value for distmethod argument is now NULL so that the it can be set to Euclidean (when cir.var is not set) or Gower distance (when cir.var is set).
• Fix typos and a trailing space in the warning message of as_MonoClust() function.
• Small improvement in how ncores argument is processed in perm.test() and cv.test(). It did not have a problem before but the improvement helps remove errors in Github Actions CI in Windows environment.
• \@fig tags in the vignette is removed.
• URL to lifecycle badge in README.md is updated.
• Start unit test component with the first test is for as_MonoClust() function.

monoClust 1.2.0

New functions

• inertia_calc() and medoid() are now exported functions.
• is_MonoClust() to check if an object is an inherited class of MonoClust.
• Create a S3 function as_MonoClust() so other packages (such as PULS) can reuse print and plot functions. However, no implementation is done in this package.

Changes to functions

• plot.MonoClust() allows the cols argument to have the length greater than the number of leaves. In that case, function will not throw error and only a subset of it will be used.
• MonoClust.object gains alt object as an indicator of whether an alternate route is available.

Bugs and Improvements

• Fix typos.
• More minimum version requirements for other dependencies.

monoClust 1.1.0

Changes to functions

• Remove bipartvar column from frame object of MonoClust object. var column should be sufficient for showing splitting variable names.
• alt column in frame object of MonoClust is now a nested tibble containing alternate split details. However, the package does not support specifying an alternate splitting route so users may have to run step-by-step by indicating nclusters = 2 in MonoClust() and then on each branch.
• Remove arctic_2019 data set. It was not used anywhere in the examples.

Improvements

• Add documentation for MonoClust.object to explain its structure.

Fix bugs

• Min version of dependency tibble() is 3.0.0 because tibble::add_row() is used with the new behavior.
• Fix some typos and clarify some documentation.

monoClust 1.0.0

• Package is now fully working with all features intended.
• Rewrote a lot of internal functions to clean up unnecessary codes.
• Added ggplot2 versions of CV plot.
• PCP plot for circular data is now named ggpcp and uses ggplot2.
• New circular add/subtract operators: %cd+%, %cd-% (in degree), %cr+%, and %cr-% (in radian).
• Added wind_sensit_2008 data set.
• Added a vignette using R Markdown.
• Updated documentation.

Changes to functions

• MonoClust() removed perm.test and alpha arguments. Users now need to run perm.test() separately to perform permutation test on a MonoClust.
  • Removed labels, corders, ran from the output.
  • Membership and Dist outputs of MonoClust() are now membership and dist, respectively.
• plot.MonoClust() added uniform, branch, minbranch, stats, cols.type, and show.pval.
• cv.test() now returns unified output for both LOOCV and k-fold. It includes MSE and SE table and a note with the type of cross-validation.
• abbrev argument in plot.MonoClust() and print.MonoClust() now accepts descriptive options "no", "short", "abbreviate".
• method argument in perm.test() now uses descriptive options "sw", "rl" and "rn". Users can now decide whether to apply Bonferroni correction with bon.adj argument.
• predict.MonoClust() removed na.action. type argument now accepts more meaningful options "centroid" or "medoids".
• Added parallel processing capability to perm.test() and cv.test().

monoClust 0.4.0

• Removed the categorical variable feature to make sure it works well for all other cases.

monoClust 0.3.0

• Added support for foreach when searching for the best split.
• Added a NEWS.md file to track changes to the package.