Package: msir 1.3.3
msir: Model-Based Sliced Inverse Regression
An R package for dimension reduction based on finite Gaussian mixture modeling of inverse regression.
Authors:
msir_1.3.3.tar.gz
msir_1.3.3.zip(r-4.5)msir_1.3.3.zip(r-4.4)msir_1.3.3.zip(r-4.3)
msir_1.3.3.tgz(r-4.4-any)msir_1.3.3.tgz(r-4.3-any)
msir_1.3.3.tar.gz(r-4.5-noble)msir_1.3.3.tar.gz(r-4.4-noble)
msir_1.3.3.tgz(r-4.4-emscripten)msir_1.3.3.tgz(r-4.3-emscripten)
msir.pdf |msir.html✨
msir/json (API)
NEWS
# Install 'msir' in R: |
install.packages('msir', repos = c('https://luca-scr.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/mclust-org/msir/issues
Last updated 4 years agofrom:d1cceaad2a. 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:bicDimRedeigen.decomploess.sdmsirmsir.bicmsir.componentsmsir.componentsSlicemsir.fitmsir.nslicesmsir.parametersmsir.permutation.testmsir.recoverdirmsir.regularizedSigmamsir.slicesmvdnormnormalizepanel.loessplot.msirpredict.msirprint.msirprint.summary.msirspinplotsummary.msir
Dependencies:mclust
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Model-based Sliced Inverse Regression (MSIR) | msir-package |
Local Polynomial Regression Fitting with Variability bands | loess.sd panel.loess |
Model-based Sliced Inverse Regression (MSIR) | msir print.msir |
BIC-type criterion for dimensionality | bicDimRed msir.bic |
Default number of slices | msir.nslices |
Permutation test for dimensionality | msir.permutation.test |
Regularized estimate of predictors covariance matrix. | msir.regularizedSigma |
Slice a vector into slices of approximately equal size | msir.slices |
Plot method for ''msir'' objects. | plot.msir |
Model-based Sliced Inverse Regression directions | predict.msir |
Rotating three-dimensional plot | spinplot |
Summary and print methods for ''msir'' objects | print.summary.msir summary.msir |