labelled 2.5.0

• new .keep_value_labels argument for recode.haven_labelled()
• new .combine_value_labels argument for recode.haven_labelled() (#61)
• new drop_unused_value_labels() method
• an additional .labels argument for set_value_labels()
• user_na_to_na argument has been added to to_character.haven_labelled()
• %>% is now imported from dplyr
• a cheatsheet has been added (#47)
• internal documentation is now using roxygen2 markdown support

labelled 2.4.0

• fixes for haven 2.3.0 (#59 by @hadley)
• correct re-export of functions from haven
• update_labelled() has been improved to allow to reconstruct
  all labelled vectors created with a previous versiob of haven

labelled 2.3.0

• new function unlabelled()

labelled 2.2.2

• bug fix for look_for() (#52 by @NoahMarconi)
• bug fix in val_labels_to_na() documentation

labelled 2.2.1

• bug fix for na_range() and na_values(): variable labels
  are now preserved (#48, thanks to @mspittler)

labelled 2.2.0

• new function copy_labels_from(), compliant with dplyr syntax
• update_labelled() is now more strict (#42 by @iago-pssjd)
• new functions look_for() and lookfor() imported from questionr (#44)
• new unlist option for var_label()
• tagged_na() and similar functions are now imported from haven

labelled 2.1.0

• var_label(), applied to a data.frame, now accepts a character
  vector of same length as the number of columns.
• set_variable_labels has a new .labels argument.
• New unclass option in to_factor(), to be used when strict = TRUE (#36)
• Following haven version 2.1.0, it is not mandatory anymore to define a value
  label before defining a SPSS style missing value. labelled_spss(), na_values()
  and na_range() have been updated accordingly (#37)

labelled version 2.0.2

labelled 2.0.2

• to_factor() bug fix then applied on a data.frame (#33)

Version 2.0.1

labelled 2.0.1

• update_labelled() bug fix then applied on a data.frame (#31)

labelled 2.0.0

BREAKING CHANGE

• Following version 2.0.0 of haven, labelled() and labelled_spss() now
  produce objects with class "haven_labelled" and "haven_labelled_spss", due
  to conflict between the previous "labelled" class and the "labelled" class
  used by Hmisc.
• A new function update_labelled() could be used to convert data imported
  with an older version of haven to the new classes.

Other changes

• user_na_to_na option added to to_factor()
• foreign_to_labelled() now import SPSS missing values (#27)
• a strict argument added to to_factor() (#25)
• remove_attributes() preserve character vectors (#30)