Software
Nodes develop and make available software.
CED²AR is designed to improve the documentation and discoverability of both public and restricted data from the federal statistical system. CED²AR is based upon leading metadata standards (Data Documentation Initiative, DDI). The web application CED²AR was developed to be able to expose and edit new features added by the Cornell node. The main CED²AR instance both hosts those unique codebooks, as well as allows us to showcase the new features in our DDI extensions. The production server can...
mtcd is a standalone C++ implementation of the statistical model proposed in “Synthesizing Truncated Count Data for Confidentiality”, developed by the Duke-NISS NCRN node (see this page). Our team, part of the LDI Summer Lab 2015, created a R wrapper around mtcd, called Rmtcd. See https://github.com/ncrncornell/Rmtcd for all additional details.
Citation
Charley Chen, Hautahi Kingi, Alice Chou, & Lars Vilhuber. (2015, October 20). ncrncornell/Rmtcd: Synthesizing Truncated Count Data for...