A set of tools to perform multiple versions of the Mobility
    Oriented-Parity metric. This multivariate analysis helps to characterize 
    levels of dissimilarity between a set of conditions of reference and another
    set of conditions of interest. If predictive models are transferred to 
    conditions different from those over which models were calibrated (trained),
    this metric helps to identify transfer conditions that differ 
    substantially from those of calibration. These tools are implemented 
    following principles proposed in Owens et al. (2013) 
    <doi:10.1016/j.ecolmodel.2013.04.011>, and expanded to obtain more detailed 
    results that aid in interpretation.

Provides real & simulated datasets containing time-series traffic observations
    and additional information pertaining to Loop 1 "Mopac" located in Austin, Texas.

With the provision of several tools and templates the MOSAIC project (DFG-Grant Number HO 1937/2-1) supports the implementation of a central data management in epidemiological research projects. The 'MOQA' package enables epidemiologists with none or low experience in R to generate basic data quality reports for a wide range of application scenarios. See <https://mosaic-greifswald.de/> for more information. Please read and cite the corresponding open access publication (using the former package-name) in METHODS OF INFORMATION IN MEDICINE by M. Bialke, H. Rau, T. Schwaneberg, R. Walk, T. Bahls and W. Hoffmann (2017) <doi:10.3414/ME16-01-0123>. <https://methods.schattauer.de/en/contents/most-recent-articles/issue/2483/issue/special/manuscript/27573/show.html>.

Supports morphological analysis for Japanese by using 
    'MeCab' <https://taku910.github.io/mecab/>, 
    'Sudachi' <https://github.com/WorksApplications/Sudachi>, 
    'Chamame' <https://chamame.ninjal.ac.jp/>, 
    or 'Ginza' <https://github.com/megagonlabs/ginza>.
    Can input a data.frame and obtain all results of 'MeCab' and the row
    number of the original data.frame as a text id.