Package: smer 0.0.2

smer: Sparse Marginal Epistasis Test
The Sparse Marginal Epistasis Test is a computationally efficient genetics method which detects statistical epistasis in complex traits; see Stamp et al. (2025, <doi:10.1101/2025.01.11.632557>) for details.
Authors:
smer_0.0.2.tar.gz
smer_0.0.2.zip(r-4.7)smer_0.0.2.zip(r-4.6)smer_0.0.2.zip(r-4.5)
smer_0.0.2.tgz(r-4.6-x86_64)smer_0.0.2.tgz(r-4.6-arm64)smer_0.0.2.tgz(r-4.5-x86_64)smer_0.0.2.tgz(r-4.5-arm64)
smer_0.0.2.tar.gz(r-4.7-arm64)smer_0.0.2.tar.gz(r-4.7-x86_64)smer_0.0.2.tar.gz(r-4.6-arm64)smer_0.0.2.tar.gz(r-4.6-x86_64)
manual.pdf |manual.html✨
card.svg |card.png
smer/json (API)
NEWS
| # Install 'smer' in R: |
| install.packages('smer', repos = c('https://lcrawlab.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/lcrawlab/sme/issues
Pkgdown/docs site:https://lcrawlab.github.io
- getting_started - Simulated Dataset for Genome-Wide Interaction Analysis
genomewideassociationepistasisgeneticssnplinearmixedmodelcppepistasis-analysisepistatisgwasgwas-toolsmapitcurlopensslcppopenmp
Last updated from:647209cd62. Checks:10 OK, 2 WARNING, 1 FAIL. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 222 | ||
| linux-devel-x86_64 | OK | 229 | ||
| source / vignettes | OK | 394 | ||
| linux-release-arm64 | OK | 221 | ||
| linux-release-x86_64 | OK | 238 | ||
| macos-release-arm64 | WARNING | 259 | ||
| macos-release-x86_64 | WARNING | 350 | ||
| macos-oldrel-arm64 | OK | 352 | ||
| macos-oldrel-x86_64 | OK | 426 | ||
| windows-devel | OK | 287 | ||
| windows-release | OK | 321 | ||
| windows-oldrel | OK | 281 | ||
| wasm-release | FAIL | 196 |
Exports:approximate_memory_requirementscreate_hdf5_fileread_hdf5_datasetsimulate_traitssmewrite_hdf5_dataset
Dependencies:backportsBHbiocmakebitbit64briocallrcheckmateclicliprcodetoolsCompQuadFormcpp11crayondescdiffobjdir.expirydplyrevaluatefilelockFMStableforeachfsgenericsgenioglueharmonicmeanpHighFivehmsiteratorsjsonlitelifecycleloggingmagrittrmvMAPITmvtnormpillarpkgbuildpkgconfigpkgloadpraiseprettyunitsprocessxprogresspspurrrR6RcppRcppArmadilloRcppEigenRcppParallelRcppProgressRcppSpdlogreadrRhdf5librlangrprojrootstringistringrtestthattibbletidyrtidyselecttruncnormtzdbutf8vctrsvroomwaldowithr
Conditioning Epistasis Search on Open Chromatin
Rendered fromstudy-erythroid-differentiation-data.Rmdusingknitr::rmarkdownon May 21 2026.Last update: 2025-01-17
Started: 2024-12-15
How To Cite Our Work
Rendered fromtutorial-cite-us.Rmdusingknitr::rmarkdownon May 21 2026.Last update: 2025-01-14
Started: 2024-12-15
How To Create a Mask File
Rendered fromtutorial-create-mask-file.Rmdusingknitr::rmarkdownon May 21 2026.Last update: 2025-01-14
Started: 2024-12-15
How To Optimize the Memory Requirements of SME
Rendered fromtutorial-memory-optimization.Rmdusingknitr::rmarkdownon May 21 2026.Last update: 2025-01-17
Started: 2024-12-15
How To Simulate Traits
Rendered fromtutorial-simulate-traits.Rmdusingknitr::rmarkdownon May 21 2026.Last update: 2025-01-14
Started: 2024-12-15
How To Use the Sparse Marginal Epistasis Test
Rendered fromsmer.Rmdusingknitr::rmarkdownon May 21 2026.Last update: 2025-07-14
Started: 2025-01-14
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Estimate Memory Requirements for SME Routine | approximate_memory_requirements |
| Create an HDF5 File | create_hdf5_file |
| Simulated Dataset for Genome-Wide Interaction Analysis | getting_started |
| Read Dataset from an HDF5 File | read_hdf5_dataset |
| Simulate Quantitative Traits from PLINK Genotypes | simulate_traits |
| Sparse Marginal Epistasis Test (SME) | sme |
| Write Data to an HDF5 Dataset | write_hdf5_dataset |
