Package: dbcsp 0.0.2.1
Itsaso Rodríguez-Moreno
dbcsp: Distance-Based Common Spatial Patterns
A way to apply Distance-Based Common Spatial Patterns (DB-CSP) techniques in different fields, both classical Common Spatial Patterns (CSP) as well as DB-CSP. The method is composed of two phases: applying the DB-CSP algorithm and performing a classification. The main idea behind the CSP is to use a linear transform to project data into low-dimensional subspace with a projection matrix, in such a way that each row consists of weights for signals. This transformation maximizes the variance of two-class signal matrices.The dbcsp object is created to compute the projection vectors. For exploratory and descriptive purpose, plot and boxplot functions can be used. Functions train, predict and selectQ are implemented for the classification step.
Authors:
dbcsp_0.0.2.1.tar.gz
dbcsp_0.0.2.1.tar.gz(r-4.5-noble)dbcsp_0.0.2.1.tar.gz(r-4.4-noble)
dbcsp_0.0.2.1.tgz(r-4.4-emscripten)dbcsp_0.0.2.1.tgz(r-4.3-emscripten)
dbcsp.pdf |dbcsp.html✨
dbcsp/json (API)
NEWS
| # Install 'dbcsp' in R: |
| install.packages('dbcsp', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- AR.data - Skeleton data for 6 different actions.
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 years agofrom:028e3a0445. Checks:1 OK, 1 NOTE. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Feb 02 2025 |
| R-4.5-linux | NOTE | Feb 02 2025 |
Exports:selectQ
Dependencies:base64encbslibcachemcaretclasscliclockclusterclvcodetoolscolorspacecpp11curldata.tablediagramdigestdplyrdtwe1071evaluatefansifarverfastmapfontawesomeforeachforecastfracdifffsfuturefuture.applygeigengenericsggplot2globalsgluegowergtablehardhathighrhtmltoolshtmlwidgetsipredisobanditeratorsjquerylibjsonliteKernSmoothknitrlabelinglatticelavalifecyclelistenvlmtestlocpollongitudinalDatalubridatemagrittrMASSMatrixmemoisemgcvmimemisc3dModelMetricsmunsellnlmennetnumDerivparallelDistparallellypdcpillarpkgconfigplyrpROCprodlimprogressrproxypurrrquadprogquantmodR6rappdirsRColorBrewerRcppRcppArmadilloRcppParallelrecipesreshape2rglrlangrmarkdownrpartsassscalesshapesparsevctrsSQUAREMstringistringrsurvivaltibbletidyrtidyselecttimechangetimeDatetinytexTSclustTSdisttseriesTTRtzdburcautf8vctrsviridisLitewithrxfunxtsyamlzoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Distance-Based Common Spatial Patterns | dbcsp-package |
| Skeleton data for 6 different actions. | AR.data |
| Boxplot for dbcsp object | boxplot.dbcsp |
| S4 class for representing DB-CSP (Distance-Based Common Spatial Patterns) | dbcsp-class |
| Plot function implemented by dbcsp class | plot.dbcsp |
| Predict function implemented by dbcsp class | predict.dbcsp |
| Print function implemented by dbcsp class | print.dbcsp |
| Select Q best dimension | selectQ selectQ,dbcsp-method |
| Summary function implemented by dbcsp class | summary.dbcsp |
| Training process of a dbcsp object, using LDA classifier. | train.dbcsp |