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. 'parseRPDR' currently supports txt sources: "mrn", "con", "dem", "enc", "rdt", "lab",
"med", "dia", "rfv", "prc", "phy", "lno", "car", "dis", "end", "hnp", "opn", "pat", "prg", "pul", "rad" and "vis".
All functionalities are parallelized for fast and efficient analyses.

c(person("Alberto", "Arcagni", role = c("aut", "cre"), email = "alberto.arcagni@unimib.it"), person("Marco", "Fattore", role = c("ctb")))
Alberto Arcagni [aut, cre], Marco Fattore [ctb]
Implements basic partial order tools for multidimensional poverty evaluation with ordinal variables. Its main goal is to provide socio-economic scholars with an integrated set of elementary functions for multidimensional poverty evaluation, based on ordinal information. The package is organized in four main parts. The first two comprise functions for data management and basic partial order analysis; the third and the fourth are devoted to evaluation and implement both the poset-based approach and a more classical counting procedure.

Alberto Arcagni [aut, cre],
Marco Fattore [ctb]
Implements basic partial order tools for multidimensional poverty evaluation with ordinal variables. Its main goal is to provide socio-economic scholars with an integrated set of elementary functions for multidimensional poverty evaluation, based on ordinal information. The package is organized in four main parts. The first two comprise functions for data management and basic partial order analysis; the third and the fourth are devoted to evaluation and implement both the poset-based approach and a more classical counting procedure. 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>.