Package: BigDataStatMeth 2.0.2
BigDataStatMeth: Scalable Statistical Computing with HDF5-Backed Matrices
A framework for 'scalable' statistical computing on large on-disk matrices stored in 'HDF5' files. It provides efficient block-wise implementations of core linear-algebra operations (matrix multiplication, SVD, PCA, QR decomposition, and canonical correlation analysis) written in C++ and R. These building blocks are designed not only for direct use, but also as foundational components for developing new statistical methods that must operate on datasets too large to fit in memory. The package supports data provided either as 'HDF5' files or standard R objects, and is intended for high-dimensional applications such as 'omics' and precision-medicine research.
Authors:
BigDataStatMeth_2.0.2.tar.gz
BigDataStatMeth_2.0.2.zip(r-4.7)BigDataStatMeth_2.0.2.zip(r-4.6)BigDataStatMeth_2.0.2.zip(r-4.5)
BigDataStatMeth_2.0.2.tgz(r-4.6-x86_64)BigDataStatMeth_2.0.2.tgz(r-4.6-arm64)BigDataStatMeth_2.0.2.tgz(r-4.5-x86_64)BigDataStatMeth_2.0.2.tgz(r-4.5-arm64)
BigDataStatMeth_2.0.2.tar.gz(r-4.7-arm64)BigDataStatMeth_2.0.2.tar.gz(r-4.7-x86_64)BigDataStatMeth_2.0.2.tar.gz(r-4.6-arm64)BigDataStatMeth_2.0.2.tar.gz(r-4.6-x86_64)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
BigDataStatMeth/json (API)
| # Install 'BigDataStatMeth' in R: |
| install.packages('BigDataStatMeth', repos = c('https://isglobal-exposomehub.r-universe.dev', 'https://cloud.r-project.org')) |
- cancer - Cancer classification
- colesterol - Dataset colesterol
- miRNA - MiRNA
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:573b90d392. Checks:11 NOTE, 1 OK, 1 FAIL. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | NOTE | 1160 | ||
| linux-devel-x86_64 | NOTE | 899 | ||
| source / vignettes | OK | 1934 | ||
| linux-release-arm64 | NOTE | 1185 | ||
| linux-release-x86_64 | NOTE | 1271 | ||
| macos-release-arm64 | NOTE | 659 | ||
| macos-release-x86_64 | NOTE | 878 | ||
| macos-oldrel-arm64 | NOTE | 777 | ||
| macos-oldrel-x86_64 | NOTE | 1024 | ||
| windows-devel | NOTE | 1574 | ||
| windows-release | NOTE | 1668 | ||
| windows-oldrel | NOTE | 1428 | ||
| wasm-release | FAIL | 642 |
Exports:%*%apply_functionbd_wproductbdapply_Function_hdf5bdblockMultbdblockSubstractbdblockSumbdCorr_matrixbdCreate_hdf5_groupbdCreate_hdf5_matrixbdCrossprodbdgetDatasetsList_hdf5bdImportData_hdf5bdImportTextFile_hdf5bdmove_hdf5_datasetbdpseudoinvbdpseudoinv_hdf5bdReduce_hdf5_datasetbdScalarwproductbdtCrossprodbdWrite_hdf5_dimnamescan_allocatecolMaxscolMeanscolMinscolnames.HDF5Matrixcolnames<-.HDF5MatrixcolSdscolSumscolVarscorcrossproddiagdiag_opdiag_scalediag<-eigenfilter_low_coveragefilter_mafget_available_ramget_cpu_coresget_memory_thresholdsget_recommended_threadsget_total_ramhdf5_applyhdf5_close_allhdf5_close_filehdf5_create_matrixhdf5_importhdf5_import_multiplehdf5_matrixhdf5_reducehdf5matrix_optionsimpute_snpsis_openlist_datasetsmemory_infomultiply_sparseobject_sizepseudoinverseqrreducerowMaxsrowMeansrowMinsrownames.HDF5Matrixrownames<-.HDF5MatrixrowSdsrowSumsrowVarsscalesdshow_hdf5matrix_optionssplit_datasetsvdsweepsystem_infotcrossprodvar
Dependencies:biocmakebitopsdata.tabledir.expiryfilelockR6RcppRcppEigenRCurlRhdf5lib
