Introduction | Example: 1-dimensional nonlinear response curve | Example: 1-dimensional symmetric response curve | Example: 2-dimensional response curve | General usage of spinplot() function | References
Package: msir 1.4
msir: Model-Based Sliced Inverse Regression
An R package for dimension reduction based on finite Gaussian mixture modeling of inverse regression.
Authors:
msir_1.4.tar.gz
msir_1.4.zip(r-4.7)msir_1.4.zip(r-4.6)msir_1.4.zip(r-4.5)
msir_1.4.tgz(r-4.6-any)msir_1.4.tgz(r-4.5-any)
msir_1.4.tar.gz(r-4.7-any)msir_1.4.tar.gz(r-4.6-any)
msir_1.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
msir/json (API)
| # 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
Pkgdown/docs site:https://mclust-org.github.io
Last updated from:d79a57808a. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 152 | ||
| source / vignettes | OK | 182 | ||
| linux-release-x86_64 | OK | 124 | ||
| macos-release-arm64 | OK | 100 | ||
| macos-oldrel-arm64 | OK | 92 | ||
| windows-devel | OK | 76 | ||
| windows-release | OK | 107 | ||
| windows-oldrel | OK | 89 | ||
| wasm-release | OK | 100 |
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 |
