Package: siera 0.5.6

Malan Bosman

siera: Generate Analysis Results Programmes Using ARS Metadata

Analysis Results Standard (ARS), a foundational standard by CDISC (Clinical Data Interchange Standards Consortium), provides a logical data model for metadata describing all components to calculate Analysis Results. <https://www.cdisc.org/standards/foundational/analysis-results-standard> Using 'siera', ARS metadata is ingested (JSON format), producing R programmes to generate Analysis Results Datasets (ARDs). Supports arbitrary-depth table structures, multi-value conditions, data-driven groupings, and CDISC-compliant ARD column stamping.

Authors:Malan Bosman [aut, cre], Clymb Clinical [cph, fnd]

siera_0.5.6.tar.gz
siera_0.5.6.zip(r-4.7-any)siera_0.5.6.zip(r-4.6-any)siera_0.5.6.zip(r-4.5-any)
siera_0.5.6.tgz(r-4.6-any)siera_0.5.6.tgz(r-4.5-any)
siera_0.5.6.tar.gz(r-4.7-any)siera_0.5.6.tar.gz(r-4.6-any)
siera_0.5.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
siera/json (API)

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

Bug tracker:https://github.com/clymbclinical/siera/issues

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

On CRAN:

Conda:

7.36 score 10 stars 10 scripts 522 downloads 8 exports 28 dependencies

Last updated from:9208a9b6a0. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK215
source / vignettesOK320
linux-releaseOK195
macos-releaseOK136
macos-oldrelOK169
windows-develOK153
windows-releaseOK143
windows-oldrelOK168
wasm-releaseOK125

Exports:%>%ARD_script_exampleARS_examplears_groupingars_stampars_xlsx_to_jsonmethod_libraryreadARS

Dependencies:cellrangerclicpp11crayondplyrgenericsgluehmsjsonlitelifecyclemagrittrpillarpkgconfigprettyunitsprogresspurrrR6readxlrematchrlangstringistringrtibbletidyrtidyselectutf8vctrswithr

Concepts and conventions
Why an ARD? | The siera pipeline | The seven ARS sections siera consumes | ARS metadata is JSON | Reading an ARD row: CDISC traceability columns | Which rows should exist? Pre-defined vs. data-driven categories
Rendered fromconcepts.Rmdusingknitr::rmarkdown

Last update: 2026-10-15
Started: 2026-06-23

ARD program structure
My ARD program has been auto-generated: What can I expect? | Analysis-level code to calculate ARDs | Step 1: Apply "Analysis Set" to ADaM(s) | Step 2: Apply "Data Subset" | Step 3: Apply "Method" | Step 4: Link the ARD to the ARS metadata | Prefer to see everything spelled out? | Final steps | Result formatting: res, pattern and disp | Deeper tables and more groupings | Example
Rendered fromARD_script_structure.Rmdusingknitr::rmarkdown

Last update: 2026-10-15
Started: 2025-09-25

Getting Started
What you will produce | Reading in ARS metadata - what to expect | Example | Running a auto-generated ARD script | A note on example code used in AnalysisMethodCodeTemplate: using cards package
Rendered fromGetting_started.Rmdusingknitr::rmarkdown

Last update: 2026-10-08
Started: 2025-07-29

Making use of cards and cardx
Introduction to cards/cardx | Using cards and cardx in ARS metadata | Example: ard_summary | Referencing a method instead of copy-pasting its code
Rendered fromusing-cards.Rmdusingknitr::rmarkdown

Last update: 2026-10-07
Started: 2025-09-23

Exporting ARDs as Dataset-JSON
What is Dataset-JSON, and why should you care? | Turning it on | What the export section looks like | You need the datasetjson package where the script runs | Running the script and finding the file | Reading it back | How columns are prepared | Using your own labels | Where next?
Rendered fromdatasetjson-export.Rmdusingknitr::rmarkdown

Last update: 2026-10-07
Started: 2026-10-06

What do I do with my ARD?
Using ARDs: Options | Downstream R packages for table creation
Rendered fromapply-ARD.Rmdusingknitr::rmarkdown

Last update: 2026-10-06
Started: 2025-09-23