R Consortium
Official@rconsortium
The R Consortium, Inc was established to provide support to the R Foundation and R Community, using maintaining and distributing R software.
Agent Skills by R Consortium
Showing 11 vetted skills indexed across 1 GitHub repositories.
RConsortiumsdtm-oak
Convert raw EDC/eCRF clinical data into CDISC SDTM domains.
RConsortiumclinical-trial-ipd-sim
Simulate clinical trial IPD with a g-formula causal-DAG simulator.
RConsortiumstatistical-reviewer
Review clinical trial datasets for statistical accuracy and consistency.
RConsortiumadmiral-adsl
Derive ADSL datasets from SDTM domains using admiral and dplyr.
RConsortiumclinical-trial-simulation
Design and simulate clinical trials using the TrialSimulator R package.
RConsortiumadmiral-bds
Derive ADaM BDS datasets from SDTM findings domains using admiral.
RConsortiumadmiral-adae
Derive an ADAE dataset from SDTM AE using the admiral R package.
RConsortiumbenchmark-summary
Generate combined benchmark analysis reports from GitHub issues for clinical trial design skills.
RConsortiumweekly-summary
Generate weekly GitHub progress summaries and post them to Slack.
RConsortiumissue-to-eval
Convert GitHub issues into standardized benchmark evaluation JSON.
RConsortiumbenchmark-runner
Automate AI skill benchmarking against a baseline in isolated sessions.
Frequently Asked Questions About R Consortium
FAQPage SchemaWhat specific clinical data tasks are supported by these capabilities?▼
These capabilities enable the conversion of raw EDC and eCRF data into CDISC SDTM domains, the derivation of ADaM BDS and ADSL datasets, and the execution of statistical simulations for clinical trial design using g-formula causal-DAG models.
Which professional personas benefit from these clinical trial resources?▼
These resources are designed for biostatisticians, clinical programmers, and regulatory submission specialists who require standardized, reproducible methods for processing patient data and validating statistical accuracy in clinical trial datasets.
What are the prerequisites for implementing these clinical data processing functions?▼
Implementation requires a functional R environment with the admiral and dplyr packages installed. Users must have access to raw clinical data in standard formats and possess a foundational understanding of CDISC data structures to ensure regulatory compliance during dataset derivation.