Package: admiralophtha 1.1.0.9008

admiralophtha: ADaM in R Asset Library - Ophthalmology

Aids the programming of Clinical Data Standards Interchange Consortium (CDISC) compliant Ophthalmology Analysis Data Model (ADaM) datasets in R. ADaM datasets are a mandatory part of any New Drug or Biologics License Application submitted to the United States Food and Drug Administration (FDA). Analysis derivations are implemented in accordance with the "Analysis Data Model Implementation Guide" (CDISC Analysis Data Model Team, 2021, <https://www.cdisc.org/standards/foundational/adam/adamig-v1-3-release-package>).

Authors:Edoardo Mancini [aut, cre], Ritika Aggarwal [aut], Jane Gao [aut], William Holmes [aut], Josie Jackson [aut], Sonali Jain [aut], Yuki Matsunaga [aut], Gordon Miller [aut], Rachel Linacre [aut], Lucy Palmen [aut], Nandini R Thampi [aut], Aldrich Salva [aut], Steven Ting [aut]