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.