Package: orthoDr 0.6.8
Ruoqing Zhu
orthoDr: Semi-Parametric Dimension Reduction Models Using Orthogonality Constrained Optimization
Utilize an orthogonality constrained optimization algorithm of Wen & Yin (2013) <doi:10.1007/s10107-012-0584-1> to solve a variety of dimension reduction problems in the semiparametric framework, such as Ma & Zhu (2012) <doi:10.1080/01621459.2011.646925>, Ma & Zhu (2013) <doi:10.1214/12-AOS1072>, Sun, Zhu, Wang & Zeng (2019) <doi:10.1093/biomet/asy064> and Zhou, Zhu & Zeng (2021) <doi:10.1093/biomet/asaa087>. The package also implements some existing dimension reduction methods such as hMave by Xia, Zhang, & Xu (2010) <doi:10.1198/jasa.2009.tm09372> and partial SAVE by Feng, Wen & Zhu (2013) <doi:10.1080/01621459.2012.746065>. It also serves as a general purpose optimization solver for problems with orthogonality constraints, i.e., in Stiefel manifold. Parallel computing for approximating the gradient is enabled through 'OpenMP'.
Authors:
orthoDr_0.6.8.tar.gz
orthoDr_0.6.8.tar.gz(r-4.7-arm64)orthoDr_0.6.8.tar.gz(r-4.7-x86_64)orthoDr_0.6.8.tar.gz(r-4.6-arm64)orthoDr_0.6.8.tar.gz(r-4.6-x86_64)
orthoDr_0.6.8.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
orthoDr/json (API)
NEWS
| # Install 'orthoDr' in R: |
| install.packages('orthoDr', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/teazrq/orthodr/issues
- skcm.clinical - Skin Cutaneous Melanoma Data set
- skcm.melgene - Genes associated with Melanoma given by the MelGene Database
Last updated from:bb7629d3b5. Checks:6 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 240 | ||
| linux-devel-x86_64 | OK | 245 | ||
| source / vignettes | OK | 276 | ||
| linux-release-arm64 | OK | 251 | ||
| linux-release-x86_64 | OK | 238 | ||
| wasm-release | OK | 214 |
Exports:CP_SIRdist_crossdistancehMavekernel_weightortho_optimorthoDr_pdoseorthoDr_regorthoDr_survpSAVEsilvermanview_dr_surv
Dependencies:base64encbslibcachemclidigestdrevaluatefastmapfontawesomefshighrhtmltoolshtmlwidgetsjquerylibjsonliteknitrlatticelifecyclemagrittrMASSMatrixmemoisemimemisc3dplot3DpracmaR6rappdirsRcppRcppArmadillorglrlangrmarkdownsasssurvivaltinytexxfunyaml
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Counting process based sliced inverse regression model | CP_SIR |
| Cross distance matrix | dist_cross |
| Compute Distance Correlation | distance |
| Hazard Mave for Censored Survival Data | hMave |
| Kernel Weight | kernel_weight |
| Orthogonality constrained optimization | ortho_optim |
| Direct Learning & Pseudo-direct Learning Model | orthoDr_pdose |
| Semiparametric dimension reduction method from Ma & Zhu (2012). | orthoDr_reg |
| Counting Process based semiparametric dimension reduction (IR-CP) model | orthoDr_surv |
| Predictions under 'orthoDr' models | predict.orthoDr |
| Print a 'orthoDr' object | print.orthoDr |
| Partial Sliced Averaged Variance Estimation | pSAVE |
| Silverman's rule of thumb | silverman |
| Skin Cutaneous Melanoma Data set | skcm.clinical |
| Genes associated with Melanoma given by the MelGene Database | skcm.melgene |
| 2D or 2D view of survival data on reduced dimension | view_dr_surv |
