Package: segen 1.1.0
segen: Sequence Generalization Through Similarity Network
Proposes an application for sequence prediction generalizing the similarity within the network of previous sequences.
Authors:
segen_1.1.0.tar.gz
segen_1.1.0.zip(r-4.5)segen_1.1.0.zip(r-4.4)segen_1.1.0.zip(r-4.3)
segen_1.1.0.tgz(r-4.4-any)segen_1.1.0.tgz(r-4.3-any)
segen_1.1.0.tar.gz(r-4.5-noble)segen_1.1.0.tar.gz(r-4.4-noble)
segen_1.1.0.tgz(r-4.4-emscripten)segen_1.1.0.tgz(r-4.3-emscripten)
segen.pdf |segen.html✨
segen/json (API)
NEWS
# Install 'segen' in R: |
install.packages('segen', repos = c('https://pigian.r-universe.dev', 'https://cloud.r-project.org')) |
- time_features - Time features example: IBM and Microsoft Close Prices
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:ce2efae0e4. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 25 2024 |
R-4.5-win | OK | Oct 25 2024 |
R-4.5-linux | OK | Oct 25 2024 |
R-4.4-win | OK | Oct 25 2024 |
R-4.4-mac | OK | Oct 25 2024 |
R-4.3-win | OK | Oct 25 2024 |
R-4.3-mac | OK | Oct 25 2024 |
Exports:segen
Dependencies:askpassbitbit64clicliprclueclustercolorspacecommonmarkcpp11crayoncurldata.tableentropyfANCOVAfansifarverfastDummiesfBasicsforecastfracdiffgenericsggplot2ggtextgluegreyboxgridtextgssgtablehmshttrimputeTSisobandjpegjsonliteKernSmoothlabelinglatticelifecyclelmtestlubridatemagrittrmarkdownMASSMatrixmgcvmimemodeestmomentsmunsellnarraynlmenloptrnnetopensslphilentropypillarpkgconfigpngpoormanpracmaprettyunitsprogresspurrrquadprogquantmodR6RColorBrewerRcppRcppArmadilloRcppGSLRcppParallelRcppZigguratreadrRfastrlangrmutilrpartscalesspatialstablestablediststatipstatmodstinepackstringistringrsystexregtibbletictoctidyselecttimechangetimeDatetimeSeriestseriesTTRtzdburcautf8vctrsviridisLitevroomwithrxfunxml2xtablextszoo
Readme and manuals
Help Manual
Help page | Topics |
---|---|
segen | segen-package segen |
time features example: IBM and Microsoft Close Prices | time_features |