Utility functions that help with common base-R problems relating to lists.
    Lists in base-R are very flexible. This package provides functions to quickly and easily
    characterize types of lists. That is, to identify if all elements in a list
    are null, data.frames, lists, or fully named lists. Other functionality is provided
    for the handling of lists, such as the easy splitting of lists into equally sized
    groups, and the unnesting of data.frames within fully named lists.

Reads and writes CSV with selected conventions.
 Uses the same generic function for reading and writing to promote consistent formats.

Functions for loading large (10M+ lines) CSV
    and other delimited files, similar to read.csv, but typically faster and
    using less memory than the standard R loader. While not entirely general,
    it covers many common use cases when the types of columns in the CSV file
    are known in advance. In addition, the package provides a class 'int64',
    which represents 64-bit integers exactly when reading from a file. The
    latter is useful when working with 64-bit integer identifiers exported from
    databases. The CSV file loader supports common column types including
    'integer', 'double', 'string', and 'int64', leaving further type
    transformations  to the user.

Provide functions for reading and writing CSVW - i.e. CSV tables and JSON metadata.
    The metadata helps interpret CSV by setting the types and variable names.

Support for import from and export to the CSVY file format. CSVY is a file format that combines the simplicity of CSV (comma-separated values) with the metadata of other plain text and binary formats (JSON, XML, Stata, etc.) by placing a YAML header on top of a regular CSV.

Processes survey data and displays estimation results along with the relative standard error in a table, including the number of samples and also uses a t-distribution approach to compute confidence intervals, similar to 'SPSS' (Statistical Package for the Social Sciences) software.