Reads in multi-part parquet files. Will read in parquet files that have not been previously coalesced into one file. Convenient for reading in moderately sized, but split files.

Collection of functions to get files in parquet format.
    Parquet is a columnar storage file format <https://parquet.apache.org/>. 
    The files to convert can be of several formats 
    ("csv", "RData", "rds", "RSQLite", 
    "json", "ndjson", "SAS", "SPSS"...).

Implements tools for the analysis of partially ordered data, with a particular focus on the evaluation of multidimensional systems of indicators and on the analysis of poverty. References, Fattore M. (2016) <doi:10.1007/s11205-015-1059-6> Fattore M., Arcagni A. (2016) <doi:10.1007/s11205-016-1501-4> Arcagni A. (2017) <doi:10.1007/978-3-319-45421-4_19>.

Parse dates automatically, without the need of
    specifying a format. Currently it includes the git date parser.
    It can also recognize and parse all ISO 8601 formats.

A system to increase the efficiency of dynamic web-scraping with 'RSelenium'
    by leveraging parallel processing. You provide a function wrapper for your 'RSelenium' 
    scraping routine with a set of inputs, and 'parsel' runs it in several browser instances. 
    Chunked input processing as well as error catching and logging ensures seamless 
    execution and minimal data loss, even when unforeseen 'RSelenium' errors occur. You can additionally 
    build safe scraping functions with minimal coding by utilizing constructor functions that act as wrappers 
    around 'RSelenium' methods.

An implementation of a formal grammar and parser for R Markdown documents
    using the Boost Spirit X3 library. It also includes a collection of high level
    functions for working with the resulting abstract syntax tree.

Functions to load Research Patient Data Registry ('RPDR') text queries from Partners Healthcare institutions into R.
             The package also provides helper functions to manipulate data and execute common procedures
             such as finding the closest radiological exams considering a given timepoint, or creating a DICOM header database
             from the downloaded images. All functionalities are parallelized for fast and efficient analyses.