Package: FRCC 1.1.0
Raul Cruz-Cano
FRCC: Fast Regularized Canonical Correlation Analysis
Contains the core functions associated with Fast Regularized Canonical Correlation Analysis. Please see the following for details: Raul Cruz-Cano, Mei-Ling Ting Lee, Fast regularized canonical correlation analysis, Computational Statistics & Data Analysis, Volume 70, 2014, Pages 88-100, ISSN 0167-9473 <doi:10.1016/j.csda.2013.09.020>.
Authors:
FRCC_1.1.0.tar.gz
FRCC_1.1.0.tar.gz(r-4.5-noble)FRCC_1.1.0.tar.gz(r-4.4-noble)
FRCC_1.1.0.tgz(r-4.4-emscripten)FRCC_1.1.0.tgz(r-4.3-emscripten)
FRCC.pdf |FRCC.html✨
FRCC/json (API)
| # Install 'FRCC' in R: |
| install.packages('FRCC', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- Topoisomerase_II_Inhibitors - Example data sets
- microRNA - Example data sets
- soilspec - Example data sets
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:0a11aba330. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Sep 15 2024 |
| R-4.5-linux | OK | Sep 15 2024 |
Exports:custom.draw.circlefrccgenerate_multivariate_normal_sampleoff.diagonal.lambdaplot_unitsplot_variablesrearrange.frcc
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Draws a circle | custom.draw.circle |
| This function implements the Fast Regularized Canonical Correlation Analysis | frcc |
| It generates a sample from a multivariate normal distribution function | generate_multivariate_normal_sample |
| Example data sets | microRNA soilspec Topoisomerase_II_Inhibitors |
| Calculates the value of the shrinkage coefficient for the off-diagonal matrices | off.diagonal.lambda |
| Plots the experimental units in the Canonical Variates Space | plot_units |
| Plot variables in the Canonical Factor Loadings Space | plot_variables |
| Rearranges the canonical structure according to the canonical correlations | rearrange.frcc |