Package: fastMatMR 1.2.7
Rohit Goswami
fastMatMR: High-Performance Matrix Market File Operations
An interface to the 'fast_matrix_market' 'C++' library, this package offers efficient read and write operations for Matrix Market files in R. It supports both sparse and dense matrix formats. Peer-reviewed at 'rOpenSci' (<https://github.com/ropensci/software-review/issues/606>).
Authors:
fastMatMR_1.2.7.tar.gz
fastMatMR_1.2.7.zip(r-4.6)fastMatMR_1.2.7.zip(r-4.5)
fastMatMR_1.2.7.tgz(r-4.6-x86_64)fastMatMR_1.2.7.tgz(r-4.6-arm64)fastMatMR_1.2.7.tgz(r-4.5-x86_64)fastMatMR_1.2.7.tgz(r-4.5-arm64)
fastMatMR_1.2.7.tar.gz(r-4.6-arm64)fastMatMR_1.2.7.tar.gz(r-4.6-x86_64)fastMatMR_1.2.7.tar.gz(r-4.5-arm64)fastMatMR_1.2.7.tar.gz(r-4.5-x86_64)
fastMatMR_1.2.7.tgz(r-4.5-emscripten)
fastMatMR.pdf |fastMatMR.html✨
fastMatMR/json (API)
NEWS
| # Install 'fastMatMR' in R: |
| install.packages('fastMatMR', repos = c('https://packages.ropensci.org', 'https://cloud.r-project.org')) |
Reviews:rOpenSci Software Review #606
Bug tracker:https://github.com/ropensci/fastmatmr/issues
Pkgdown/docs site:https://docs.ropensci.org
cpp17matrix-marketmatrix-market-formatr-cpp11cpp
Last updated from:d89ff0a82e (on main). Checks:10 NOTE, 3 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | NOTE | 156 | ||
| linux-devel-x86_64 | NOTE | 130 | ||
| pkgdown docs | OK | 331 | ||
| source / vignettes | OK | 170 | ||
| linux-release-arm64 | NOTE | 140 | ||
| linux-release-x86_64 | NOTE | 161 | ||
| macos-devel-arm64 | NOTE | 95 | ||
| macos-devel-x86_64 | NOTE | 169 | ||
| macos-release-arm64 | NOTE | 101 | ||
| macos-release-x86_64 | NOTE | 205 | ||
| windows-devel | NOTE | 152 | ||
| windows-release | NOTE | 109 | ||
| wasm-release | OK | 117 |
Exports:fmm_to_matfmm_to_spamfmm_to_sparse_Matrixfmm_to_SparseMfmm_to_vecintmat_to_fmmintvec_to_fmmmat_to_fmmspam_to_fmmsparse_Matrix_to_fmmSparseM_to_fmmvec_to_fmmwrite_fmm
Dependencies:cpp11
Benchmarking Sparse Matrix Market Read Operations
Rendered fromfmm_read_bench.Rmdusingknitr::rmarkdownon Mar 31 2026.Last update: 2023-11-03
Started: 2023-09-02
Benchmarking Sparse Matrix Market Write Operations
Rendered fromfmm_write_bench.Rmdusingknitr::rmarkdownon Mar 31 2026.Last update: 2023-11-03
Started: 2023-08-31
Getting Started
Rendered fromfastMatMR.Rmdusingknitr::rmarkdownon Mar 31 2026.Last update: 2023-11-03
Started: 2023-10-24
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Convert Matrix Market File to Matrix | fmm_to_mat |
| Convert Matrix Market File to spam Sparse Matrix | fmm_to_spam |
| Convert Matrix Market File to Sparse Matrix | fmm_to_sparse_Matrix |
| Convert Matrix Market File to SparseM matrix.csr | fmm_to_SparseM |
| Convert Matrix Market File to Numeric Vector | fmm_to_vec |
| Convert a Numeric Matrix to Matrix Market Format | intmat_to_fmm |
| Convert a numeric integer vector to Matrix Market Format | intvec_to_fmm |
| Convert a Numeric Matrix to Matrix Market Format | mat_to_fmm |
| Convert a spam Sparse Matrix to Matrix Market Format | spam_to_fmm |
| Convert a Sparse Numeric Matrix to Matrix Market Format | sparse_Matrix_to_fmm |
| Convert a SparseM matrix.csr to Matrix Market Format | SparseM_to_fmm |
| Convert a Numeric Vector to Matrix Market Format | vec_to_fmm |
| Convert Various Numeric Types to Matrix Market Format | write_fmm |
