Wrapping and supplementing commonly used functions in the R ecosystem related to spatial data science, 
             while serving as a basis for other packages maintained by Wenbo Lv.

Functions for self-determination motivation theory (SDT) to compute
    measures of motivation internalization, motivation simplex structure, and of
    the original and adjusted self-determination or relative autonomy index. SDT
    was introduced by Deci and Ryan (1985) <doi:10.1007/978-1-4899-2271-7>. See
    package?SDT for an overview.

An Electronic Data Capture system (EDC) and Data Standard agnostic 
    solution that enables the pharmaceutical programming community to develop 
    Clinical Data Interchange Standards Consortium (CDISC)
    Study Data Tabulation Model (SDTM) datasets in R. The reusable algorithms 
    concept in 'sdtm.oak' provides a framework for modular programming and can 
    potentially automate the conversion of raw clinical data to SDTM through 
    standardized SDTM specifications. SDTM is one of the required standards for data 
    submission to the Food and Drug Administration (FDA) in the United States and 
    Pharmaceuticals and Medical Devices Agency (PMDA) in Japan. SDTM standards 
    are implemented following the SDTM Implementation Guide as defined by 
    CDISC <https://www.cdisc.org/standards/foundational/sdtmig>.

A series of checks to identify common issues in Study Data Tabulation Model (SDTM) datasets. These checks are intended to be generalizable, actionable, and meaningful for analysis.

Provides a set of tools to assist statistical programmers 
    in validating Study Data Tabulation Model (SDTM) domain data sets. 
    Statistical programmers are required to validate that a SDTM data set domain 
    has been programmed correctly, per the SDTM Implementation Guide (SDTMIG) by 
    'CDISC' (<https://www.cdisc.org/standards/foundational/sdtmig>), 
    study specification, and study protocol using a process called double 
    programming. Double programming involves two different programmers 
    independently converting the raw electronic data cut (EDC) data into a SDTM 
    domain data table and comparing their results to ensure accurate 
    standardization of the data. One of these attempts is termed 'production' 
    and the other 'validation'. Generally, production runs are the official 
    programs for submittals and these are written in 'SAS'. Validation runs can 
    be programmed in another language, in this case 'R'.