Package: admiralvaccine 0.6.0.9001

Arjun Rubalingam

admiralvaccine: Vaccine Extension Package for ADaM in 'R' Asset Library

Programming vaccine specific Clinical Data Interchange Standards Consortium (CDISC) compliant Analysis Data Model (ADaM) datasets in 'R'. Flat model is followed as per Center for Biologics Evaluation and Research (CBER) guidelines for creating vaccine specific domains. 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>). The package is an extension package of the 'admiral' package.

Authors:Arjun Rubalingam [aut, cre], Sukalpo Saha [aut, ctb], Ben Straub [aut], Vikram S [aut], Dhivya Kanagaraj [aut], Federico Baratin [aut], Yamini Purna Bollu [aut], Ilse Augustyns [aut], Kalyani Bodicherla [aut], Hilde Delanghe [aut], Lee Armishaw [aut], Neetu Sangari [ctb], Abdul Khayat [ctb], Ankur Jindal [ctb], Jayashree V [ctb], Jagadish Katam [ctb], Andrea Pammolli [ctb], Daniele Bottigliengo [ctb], Ranya Ben Hsain [ctb], Marleen Nijs [ctb], Mandy Peng [ctb], Tina Zhai [ctb], Ross Farrugia [ctb], Stefan Bundfuss [ctb], Edoardo Mancini [ctb], Pfizer Inc. [cph, fnd], GlaxoSmithKline LLC [cph, fnd], Johnson & Johnson [cph, fnd]

admiralvaccine_0.6.0.9001.tar.gz
admiralvaccine_0.6.0.9001.zip(r-4.7)admiralvaccine_0.6.0.9001.zip(r-4.6)admiralvaccine_0.6.0.9001.zip(r-4.5)
admiralvaccine_0.6.0.9001.tgz(r-4.6-any)admiralvaccine_0.6.0.9001.tgz(r-4.5-any)
admiralvaccine_0.6.0.9001.tar.gz(r-4.7-any)admiralvaccine_0.6.0.9001.tar.gz(r-4.6-any)
admiralvaccine_0.6.0.9001.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
admiralvaccine/json (API)

# Install 'admiralvaccine' in R:
install.packages('admiralvaccine', repos = c('https://pharmaverse.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/pharmaverse/admiralvaccine/issues

Pkgdown/docs site:https://pharmaverse.github.io

Datasets:

On CRAN:

Conda:

cdisc

7.54 score 8 stars 18 scripts 392 downloads 11 exports 44 dependencies

Last updated from:7c4a46c807. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK198
source / vignettesOK275
linux-release-x86_64OK194
macos-release-arm64OK99
macos-oldrel-arm64OK152
windows-develOK117
windows-releaseOK118
windows-oldrelOK126
wasm-releaseOK132

Exports:derive_diam_to_sev_recordsderive_fever_recordsderive_var_aval_adisderive_vars_critderive_vars_event_flagderive_vars_max_flagderive_vars_merged_vaccinederive_vars_paramsderive_vars_vaxdtmax_flagpost_process_reacto

Dependencies:admiraladmiraldevassertthatbrewcallrclicommonmarkcpp11descdplyrevaluatefsgenericsgluehighrhmsknitrlifecyclelubridatemagrittrotelpillarpkgbuildpkgconfigpkgloadprocessxpspurrrR6rlangroxygen2rprojrootstringistringrtibbletidyrtidyselecttimechangeutf8vctrswithrxfunxml2yaml

Get Started
Introduction | Derivations | Input and Output | Starting a Script | Support
Rendered fromadmiralvaccine.Rmdusingknitr::rmarkdown

Last update: 2026-01-23
Started: 2023-05-19

Creating ADFACE
Introduction | Programming Workflow | Read in Data | Pre-processing of Input Dataset | Merge FACE with EX | Merge Required ADSL Variables Needed for Analysis | Derive Fever Records from VS Domain | Derive/Impute Numeric Date/Time and Analysis Day (ADT, ADTM, ADTF, ATMF, ADY) | Derive Period Variables (e.g. APxxSDT, APxxEDT, ...) | Derive Direct Mapping Variables | Derive AN01FL | Derive Severity Records for Administration Site Events | Derive Maximum Records | Assign PARAMCD, PARAM, PARAMN, PARCAT1 | Derive Maximum Severity Flag | Derive Event Occurrence Flag | Post-processing of the Dataset | Add ADSL variables | Example Script
Rendered fromadface.Rmdusingknitr::rmarkdown

Last update: 2025-09-18
Started: 2023-03-01

Creating ADSL
Introduction | Programming Flow | Read in Data | Derive Period, Subperiod, and Phase Variables (e.g. APxxSDT, APxxEDT, ...) | Derive Treatment Variables (TRT0xP, TRT0xA) | Derive/Impute Numeric Treatment Date/Time and Duration (TRTSDTM, TRTEDTM, TRTDURD) | Population Flags (e.g. SAFFL) | Derive Vaccination Date Variables | Create Period Variables (Study Specific) | Derive Other Variables | Add Labels and Attributes | Example Script
Rendered fromadsl.Rmdusingknitr::rmarkdown

Last update: 2025-09-18
Started: 2023-05-19

Creating ADIS
Introduction | Programming Workflow | Read in Data | Combine IS with SUPPIS | Derive Timing Variables | Derive ADT and ADY Variables | Parameters Derivation | Derive PARCAT1 and CUTOFFx Variables | Derive AVAL, AVALU and DTYPE Variables | Derive BASE Variables | Derive CHG and R2BASE Variables | Derive CRITx Variables | Derive TRTP/A Variables | Derive PPS Record Level Flag Variable | Add ADSL Variables | Example Script
Rendered fromadis.Rmdusingknitr::rmarkdown

Last update: 2025-01-28
Started: 2023-05-19

Creating ADCE
Introduction | Programming Flow | Read in Data | Pre-processing of Input Dataset | Create Reference Dataset for Periods | Derivation of Analysis Dates | Join with the Periods Reference Dataset and Derive Relative Day in Period | Creation of Analysis Version for GRADING Variable (Either TOXGR or SEV) | Creation of Analysis Sequence Number | Final Step : Get All the Remaining Variables from ADSL | Example Script
Rendered fromadce.Rmdusingknitr::rmarkdown

Last update: 2024-07-31
Started: 2023-05-19