Package: orthoDr 0.6.6

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) <arxiv:1704.05046> and Zhou, Zhu & Zeng (2021) <arxiv:1802.06156>. It also serves as a general purpose optimization solver for problems with orthogonality constraints. Parallel computing for approximating the gradient is enabled through 'OpenMP'.

Authors:Ruilin Zhao [aut, cph], Ruoqing Zhu [aut, cre, cph], Jiyang Zhang [aut, cph], Wenzhuo Zhou [aut, cph], Peng Xu [aut, cph], James Joseph Balamuta [ctb]

orthoDr_0.6.6.tar.gz
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orthoDr.pdf |orthoDr.html✨
orthoDr/json (API)
NEWS

# Install 'orthoDr' in R:

install.packages('orthoDr', repos = c('https://teazrq.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/teazrq/orthodr/issues

Uses libs:

openblas– Optimized BLAS
c++– GNU Standard C++ Library v3
openmp– GCC OpenMP (GOMP) support library

Datasets:

skcm.clinical - Skin Cutaneous Melanoma Data set
skcm.melgene - Genes associated with Melanoma given by the MelGene Database

On CRAN:

4.47 score 7 stars 2 packages 14 scripts 238 downloads 12 exports 39 dependencies

Last updated 2 years agofrom:b009267a5b. Checks:OK: 1 NOTE: 8. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Nov 02 2024
R-4.5-win-x86_64	NOTE	Nov 02 2024
R-4.5-linux-x86_64	NOTE	Nov 02 2024
R-4.4-win-x86_64	NOTE	Nov 02 2024
R-4.4-mac-x86_64	NOTE	Nov 02 2024
R-4.4-mac-aarch64	NOTE	Nov 02 2024
R-4.3-win-x86_64	NOTE	Nov 02 2024
R-4.3-mac-x86_64	NOTE	Nov 02 2024
R-4.3-mac-aarch64	NOTE	Nov 02 2024

Exports:CP_SIR dist_cross distance hMave kernel_weight ortho_optim orthoDr_pdose orthoDr_reg orthoDr_surv pSAVE silverman view_dr_surv

Dependencies:base64enc bslib cachem cli digest dr evaluate fastmap fontawesome fs glue highr htmltools htmlwidgets jquerylib jsonlite knitr lattice lifecycle magrittr MASS Matrix memoise mime misc3d plot3D pracma R6 rappdirs Rcpp RcppArmadillo rgl rlang rmarkdown sass survival tinytex xfun yaml

Citation

Development and contributors

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