Package: binsegRcpp 2023.10.24
binsegRcpp: Efficient Implementation of Binary Segmentation
Standard template library containers are used to implement an efficient binary segmentation algorithm, which is log-linear on average and quadratic in the worst case.
Authors:
binsegRcpp_2023.10.24.tar.gz
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binsegRcpp.pdf |binsegRcpp.html✨
binsegRcpp/json (API)
NEWS
# Install 'binsegRcpp' in R: |
install.packages('binsegRcpp', repos = c('https://tdhock.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/tdhock/binsegrcpp/issues
Last updated 7 months agofrom:7e9bc765f5. Checks:OK: 9. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 24 2024 |
R-4.5-win-x86_64 | OK | Oct 24 2024 |
R-4.5-linux-x86_64 | OK | Oct 24 2024 |
R-4.4-win-x86_64 | OK | Oct 24 2024 |
R-4.4-mac-x86_64 | OK | Oct 24 2024 |
R-4.4-mac-aarch64 | OK | Oct 24 2024 |
R-4.3-win-x86_64 | OK | Oct 24 2024 |
R-4.3-mac-x86_64 | OK | Oct 24 2024 |
R-4.3-mac-aarch64 | OK | Oct 24 2024 |
Exports:binsegbinseg_normalbinseg_normal_cvcase.colorscase.sizescum_mediandepth_first_interfaceget_complexityget_complexity_best_heuristic_equal_breadth_fullget_complexity_best_heuristic_equal_depth_fullget_complexity_best_optimal_costget_complexity_best_optimal_treeget_complexity_empiricalget_complexity_extremeget_complexity_worstget_distribution_infoget_tree_empiricalrandom_set_vecsize_to_splitstree_layout
Dependencies:data.tableRcpp