• ePCA

  • Referenced in 4 articles [sw27830]
  • used very generally for dimension reduction and denoising of large data matrices with exponential family ... Marchenko – Pastur law in high dimensions. An open-source implementation is available...
  • GSML

  • Referenced in 4 articles [sw35600]
  • terms of both test accuracy and dimension reduction, on six real-world benchmark datasets...
  • LDRTools

  • Referenced in 2 articles [sw19809]
  • package LDRTools: Tools for Linear Dimension Reduction. Linear dimension reduction subspaces can be uniquely defined...
  • EDR

  • Referenced in 2 articles [sw08172]
  • package EDR: Estimation of the effective dimension reduction (EDR) space. The library contains R-functions ... estimate the effective dimension reduction space in multi-index regression models...
  • BigVAR

  • Referenced in 3 articles [sw31349]
  • package BigVAR: Dimension Reduction Methods for Multivariate Time Series. Estimates VAR and VARX models with...
  • Active subspaces

  • Referenced in 3 articles [sw32976]
  • book Active Subspaces: Emerging Ideas in Dimension Reduction for Parameter Studies published by SIAM. This...
  • GSVA

  • Referenced in 3 articles [sw17293]
  • single gene analysis include noise and dimension reduction, as well as greater biological interpretability...
  • direpack

  • Referenced in 1 article [sw33319]
  • state-of-the-art statistical dimension reduction methods. The direpack package aims to establish ... modern statistical dimension reduction techniques into the Python universe as a single, consistent package ... dimension reduction methods included resort into three categories: projection pursuit based dimension reduction, sufficient dimension ... reduction, and robust M estimators for dimension reduction. As a corollary, regularized regression estimators based...
  • orthoDr

  • Referenced in 1 article [sw28510]
  • Counting process-based dimension reduction methods for censored outcomes. We propose counting process-based dimension ... equations are constructed to estimate the dimension reduction subspace for the failure time model ... bias in estimating the dimension reduction subspace. Second, the nonparametric estimation involved adapts ... singular value decomposition to estimate the dimension reduction subspace. Numerical studies suggest that...
  • SDRcausal

  • Referenced in 1 article [sw38424]
  • causal inference based on sufficient dimension reduction. SDRcausal is a package that implements sufficient dimension ... reduction methods for causal inference as proposed in Ghosh, Ma, and de Luna ... fitted by using semiparametric locally efficient dimension reduction estimators, thereby allowing for large sets ... methods. Finding the suitable dimension reduction map (central mean subspace) requires solving an optimization problem...
  • AC-PCA

  • Referenced in 1 article [sw27101]
  • simultaneously performs dimension reduction and adjustment for confounding variation. Dimension reduction methods are commonly applied ... propose AC-PCA for simultaneous dimension reduction and adjustment for confounding variation. We show that...
  • sSDR

  • Referenced in 1 article [sw20968]
  • Structured ordinary least squares: a sufficient dimension reduction approach for regressions with partitioned predictors ... this known structure in the predictor dimension reduction stage that precedes modeling ... this, we propose a novel Sufficient Dimension Reduction (SDR) approach that we call {it structured...
  • lfda

  • Referenced in 2 articles [sw20801]
  • popular for supervised dimensionality reduction method. lfda is an R package for performing local Fisher ... visualization functions to easily visualize the dimension reduction results by using either...
  • ASPIRE

  • Referenced in 2 articles [sw32496]
  • image processing, linear and nonlinear dimension reduction, randomized algorithms in numerical linear algebra, and representation...
  • varrank

  • Referenced in 2 articles [sw23896]
  • collection of variables of interest, i.e., dimension reduction, and variable ranking with respect...
  • Tapkee

  • Referenced in 2 articles [sw10888]
  • Tapkee: an efficient dimension reduction library. We present Tapkee, a C++ template library that provides...
  • MAVE

  • Referenced in 1 article [sw38410]
  • package MAVE: Methods for Dimension Reduction. Functions for dimension reduction, using MAVE (Minimum Average Variance ... kernel version). Methods for selecting the best dimension are also included...
  • MLC Toolbox

  • Referenced in 1 article [sw28399]
  • many combinations of feature space dimension reduction, sample clustering, label space dimension reduction and ensemble...
  • MetaPCA

  • Referenced in 1 article [sw35618]
  • package MetaPCA: Meta-analysis in the Dimension Reduction of Genomic data. MetaPCA implements simultaneous dimension...
  • RDRToolbox

  • Referenced in 1 article [sw37516]
  • package RDRToolbox: A package for nonlinear dimension reduction with Isomap and LLE. A package ... nonlinear dimension reduction using the Isomap and LLE algorithm. It also includes a routine...