BLESS
importeddata/bless
Code for simulation studies and UK Biobank application in paper 'Bayesian Lesion Estimation with a Structured Spike-and-Slab Prior'
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Data & Standards
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/annamenacher/BLESS
- Documentation
- unknown
- Tags
- bayesian-statistics · bayesian-variable-selection · neuroimaging · spatial-statistics · variational-inference
- Regulatory
- unknown
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- spotsspatial-statistics
Statistical analysis for spatial omics data
- BayesFactorFMRIbayesian-statistics · neuroimaging
BayesFactorFMRI is a tool developed with R and Python to allow neuroimaging researchers to conduct Bayesian second-level analysis of fMRI data and Bayesian meta-analysis of fMRI images with…
- adaptDiagbayesian-statistics
Implement Bayesian adaptive design for diagnostic test clinical trials.
- BiostatAgentbayesian-statistics
Claude Code plugin marketplace for biostatistics in R — 30 agents, 17 commands, and 45 skills spanning Bayesian modeling (Stan/PyMC/JAGS), indirect treatment comparisons (NMA/MAIC/STC/ML-NMR), tidy…
- deciderbayesian-statistics
The decider R package: decision making in multiple-arm oncology dose escalation trials with logistic regression
- goldilocksbayesian-statistics
Implement Goldilocks Bayesian adaptive design for time-to-event outcomes using a piecewise exponential distribution.
- api.github.com/repos/annamenacher/BLESSretrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2023-08-25, 4 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/24.json→ .entries["bless"]
Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.