Package: bigsnpr 1.12.21
bigsnpr: Analysis of Massive SNP Arrays
Easy-to-use, efficient, flexible and scalable tools for analyzing massive SNP arrays. Privé et al. (2018) <doi:10.1093/bioinformatics/bty185>.
Authors:
bigsnpr_1.12.21.tar.gz
bigsnpr_1.12.21.zip(r-4.7-x86_64)bigsnpr_1.12.21.zip(r-4.7-arm64)bigsnpr_1.12.21.zip(r-4.6-x86_64)bigsnpr_1.12.21.zip(r-4.6-arm64)bigsnpr_1.12.21.zip(r-4.5-x86_64)
bigsnpr_1.12.21.tgz(r-4.6-x86_64)bigsnpr_1.12.21.tgz(r-4.6-arm64)bigsnpr_1.12.21.tgz(r-4.5-x86_64)bigsnpr_1.12.21.tgz(r-4.5-arm64)
bigsnpr_1.12.21.tar.gz(r-4.7-arm64)bigsnpr_1.12.21.tar.gz(r-4.7-x86_64)bigsnpr_1.12.21.tar.gz(r-4.6-arm64)bigsnpr_1.12.21.tar.gz(r-4.6-x86_64)
bigsnpr_1.12.21.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
bigsnpr/json (API)
| # Install 'bigsnpr' in R: |
| install.packages('bigsnpr', repos = c('https://privefl.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/privefl/bigsnpr/issues
Pkgdown/docs site:https://privefl.github.io
- LD.wiki34 - Long-range LD regions
big-databioinformaticsmemory-mapped-fileparallel-computingpolygenic-scorespopulation-structure-inferencesnp-datastatistical-methodsopenblaszlibcppopenmp
Last updated from:4bc7f81764. Checks:4 NOTE, 11 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | NOTE | 327 | ||
| linux-devel-x86_64 | NOTE | 416 | ||
| source / vignettes | OK | 294 | ||
| linux-release-arm64 | OK | 364 | ||
| linux-release-x86_64 | OK | 275 | ||
| macos-release-arm64 | OK | 398 | ||
| macos-release-x86_64 | OK | 747 | ||
| macos-oldrel-arm64 | OK | 359 | ||
| macos-oldrel-x86_64 | OK | 580 | ||
| windows-devel-arm64 | NOTE | 497 | ||
| windows-devel-x86_64 | NOTE | 424 | ||
| windows-release-arm64 | OK | 740 | ||
| windows-release-x86_64 | OK | 283 | ||
| windows-oldrel-x86_64 | OK | 462 | ||
| wasm-release | OK | 166 |
Exports:as_SFBMbedbed_autoSVDbed_clumpingbed_corbed_countsbed_cprodVecbed_ld_scoresbed_MAFbed_pcadaptbed_prodVecbed_projectPCAbed_projectSelfPCAbed_randomSVDbed_scaleBinombed_tcrossprodSelfCODE_012CODE_DOSAGECODE_IMPUTE_PREDcoef_to_liabdownload_1000Gdownload_beagledownload_genetic_mapdownload_plinkdownload_plink2same_refseq_logsnp_ancestry_summarysnp_asGeneticPossnp_asGeneticPos2snp_attachsnp_attachExtdatasnp_autoSVDsnp_beagleImputesnp_clumpingsnp_corsnp_fakesnp_fastImputesnp_fastImputeSimplesnp_fstsnp_gcsnp_getSampleInfossnp_grid_clumpingsnp_grid_PRSsnp_grid_stackingsnp_indLRLDRsnp_lassosum2snp_ld_scoressnp_ldpred2_autosnp_ldpred2_gridsnp_ldpred2_infsnp_ldscsnp_ldsc2snp_ldsplitsnp_MAFsnp_manhattansnp_matchsnp_MAX3snp_modifyBuildsnp_pcadaptsnp_plinkIBDQCsnp_plinkKINGQCsnp_plinkQCsnp_plinkRmSamplessnp_prodBGENsnp_projectSelfPCAsnp_PRSsnp_pruningsnp_qqsnp_readBedsnp_readBed2snp_readBGENsnp_readBGIsnp_savesnp_scaleAlphasnp_scaleBinomsnp_simuPhenosnp_splitsnp_subsetsnp_thr_correctsnp_writeBedsub_bed
Dependencies:BHbigassertrbigparallelrbigreadrbigsparserbigstatsrbigutilsrbitclicodetoolscowplotcpp11data.tableDEoptimRdigestdoParalleldoRNGfarverffflockforeachggplot2gluegtableisobanditeratorslabelinglatticelifecyclemagrittrMatrixnaborparallellypillarpkgconfigpsR6RColorBrewerRcppRcppArmadilloRcppEigenRhpcBLASctlrlangrmiorngtoolsrobustbaseroptimRSpectrarunonceS7scalestibbletriebeardurltoolsutf8vctrsviridisLitewithr
