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.