Title: Reading, Formatting, and Organizing the Panel Study of Income
Authors@R: person("Brian", "Aronson", email = "bdaronson@gmail.com", role = c("aut", "cre"))
Description: Provides various functions for reading and preparing the Panel Study of Income Dynamics (PSID) for longitudinal analysis, including functions that read the PSID's fixed width format files directly into R, rename all of the PSID's longitudinal variables so that recurring variables have consistent names across years, simplify assembling longitudinal datasets from cross sections of the PSID Family Files, and export the resulting PSID files into file formats common among other statistical programming languages ('SAS', 'STATA', and 'SPSS').

Authors@R: person("Brian", "Aronson",email = "bdaronson@gmail.com", role = c("aut", "cre"))

Title: Searching and Retrieving Scientific Publication Data from PubMed
Description: It is a tool that makes querying and downloading data from PubMed easy. It offers a simple-to-use interface for the PubMed API. It is suitable for downloading large number of records from PubMed. It queries the Entrez Database via the getPubmedIds() function. It also retrieves XML data from Pubmed via the fetchPubmedData() function. XML data are retrieved on the fly, therefore no files are saved on the local machine by default. More info are available at the following URL <http://www.biotechworld.it/bioinf/2016/01/05/querying-pubmed-via-the-easypubmed-package-in-r/>.

Title: Search and Retrieve Scientific Publication Records from Pubmed
Description: Query NCBI Entrez and retrieve PubMed records in XML format. A large number of records can be easily downloaded via this simple-to-use interface to the NCBI PubMed API.

Title: Search and Retrieve Scientific Publication Records from PubMed
Description: Query NCBI Entrez and retrieve PubMed records in XML or text format. Process PubMed records by extracting and aggregating data from selected fields. A large number of records can be easily downloaded via this simple-to-use interface to the NCBI PubMed API.