The K-sample omnibus non-proportional hazards (KONP) tests are powerful non-parametric tests for comparing K (>=2) hazard functions based on right-censored data (Gorfine, Schlesinger and Hsu, 2020, <doi:10.1177/0962280220907355>). These tests are consistent against any differences between the hazard functions of the groups. The KONP tests are often more powerful than other existing tests, especially under non-proportional hazard functions.

Matches a data set with semi-structured address data, 
 e.g., street and house number as a concatenated string,
 wrongly spelled street names or non-existing house numbers to a 
 reference index. The methods are specifically designed for German 
 municipalities ('KOR'-community) and German address schemes.

A set of tools to analyze texts. Includes, amongst others, functions for
          automatic language detection, hyphenation, several indices of lexical diversity
          (e.g., type token ratio, HD-D/vocd-D, MTLD) and readability (e.g., Flesch,
          SMOG, LIX, Dale-Chall). Basic import functions for language corpora are also
          provided, to enable frequency analyses (supports Celex and Leipzig Corpora
          Collection file formats) and measures like tf-idf. Note: For full functionality
          a local installation of TreeTagger is recommended. It is also recommended to
          not load this package directly, but by loading one of the available language
          support packages from the 'l10n' repository
          <https://undocumeantit.github.io/repos/l10n/>. 'koRpus' also includes a plugin
          for the R GUI and IDE RKWard, providing graphical dialogs for its basic
          features. The respective R package 'rkward' cannot be installed directly from a
          repository, as it is a part of RKWard. To make full use of this feature, please
          install RKWard from <https://rkward.kde.org> (plugins are detected
          automatically). Due to some restrictions on CRAN, the full package sources are
          only available from the project homepage. To ask for help, report bugs, request
          features, or discuss the development of the package, please subscribe to the
          koRpus-dev mailing list (<https://korpusml.reaktanz.de>).