missknn 1.2.0
Breaking changes
missknn() is now an imputer only and returns completed
data directly: a data.frame when m = 1, and a
list of m completed data frames with class
c("mimar_mi", "list") when m >= 2.complete(), the missknn object class and
its print()/summary() methods are removed.
Analysis and pooling of multiply imputed data belong to dedicated
packages such as mimar
(mimar::pool_lm()).- Completed data are plain data frames;
data.table is no
longer a dependency.
- Tabular handling (input coercion, column classes, type restoration)
now uses
basetable (>= 1.4.2). Only NA
cells are imputed: blank strings stay a valid category.
- The
"tuning" attribute reports the number of
missing values per variable.
- Ordered factors are restored as ordered factors.
missknn 1.1.2
- Base-R progress bar (
progress = TRUE) with no extra
dependency.