Package: epca 1.1.0
Fan Chen
epca: Exploratory Principal Component Analysis
Exploratory principal component analysis for large-scale dataset, including sparse principal component analysis and sparse matrix approximation.
Authors:
epca_1.1.0.tar.gz
epca_1.1.0.zip(r-4.5)epca_1.1.0.zip(r-4.4)epca_1.1.0.zip(r-4.3)
epca_1.1.0.tgz(r-4.4-any)epca_1.1.0.tgz(r-4.3-any)
epca_1.1.0.tar.gz(r-4.5-noble)epca_1.1.0.tar.gz(r-4.4-noble)
epca_1.1.0.tgz(r-4.4-emscripten)epca_1.1.0.tgz(r-4.3-emscripten)
epca.pdf |epca.html✨
epca/json (API)
NEWS
# Install 'epca' in R: |
install.packages('epca', repos = c('https://fchen365.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/fchen365/epca/issues
- pitprops - Pitprops correlation data
community-detectionexploratory-data-analysismatrix-decompositionspcaprincipal-component-analysissparse-matrix
Last updated 7 months agofrom:d61352c653. Checks:OK: 1 NOTE: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 13 2024 |
R-4.5-win | NOTE | Nov 13 2024 |
R-4.5-linux | NOTE | Nov 13 2024 |
R-4.4-win | NOTE | Nov 13 2024 |
R-4.4-mac | NOTE | Nov 13 2024 |
R-4.3-win | NOTE | Nov 13 2024 |
R-4.3-mac | NOTE | Nov 13 2024 |
Exports:cpvedist.matrixinnermisClustRatepolarpverotationscashrinkagesmavarimax.criteriavgQ.absmin
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Exploratory Principal Component Analysis | epca-package |
Absmin Rotation | absmin |
Absmin Criteria | absmin.criteria |
Cumulative Proportion of Variance Explained (CPVE) | cpve |
Matrix Column Distance | dist.matrix |
Matrix Distance | distance |
Calculate fractional exponent/power | exp.frac |
Hard-thresholding | hard |
Matrix Inner Product | inner |
Label Cluster | labelCluster |
Mis-Classification Rate (MCR) | misClustRate |
Element-wise Matrix Norm | norm.Lp |
Permute columns of a block membership matrix | permColumn |
Pitprops correlation data | pitprops |
Polar Decomposition | polar |
Print SCA | print.sca |
Print SMA | print.sma |
Polar-Rotate-Shrink | prs |
Proportion of Variance Explained (PVE) | pve |
Find root matrix | rootmatrix |
Varimax Rotation | rotation |
Sparse Component Analysis | sca |
Shrinkage | shrinkage |
Sparse Matrix Approximation | sma |
Soft-thresholding | soft |
Varimax Rotation | varimax |
The varimax criterion | varimax.criteria |
Gradient of Absmin Criterion | vgQ.absmin |