套件：r-cran-ddalpha（1.3.16-1）

[ 原始碼： r-cran-ddalpha  ]

GNU R depth-based classification and calculation of data depth

Contains procedures for depth-based supervised learning, which are entirely non-parametric, in particular the DDalpha-procedure (Lange, Mosler and Mozharovskyi, 2014). The training data sample is transformed by a statistical depth function to a compact low-dimensional space, where the final classification is done. It also offers an extension to functional data and routines for calculating certain notions of statistical depth functions. 50 multivariate and 5 functional classification problems are included.

其他與 r-cran-ddalpha 有關的套件

• dep: libc6 (>= 2.27) [riscv64]

  GNU C 函式庫：共用函式庫
  同時作為一個虛擬套件由這些套件填實： libc6-udeb

  dep: libc6 (>= 2.35) [除 riscv64]

• dep: libgcc-s1 (>= 3.0) [amd64, s390x]

  GCC 支援函式庫

  dep: libgcc-s1 (>= 3.5) [armel, armhf]

  dep: libgcc-s1 (>= 4.2) [除 amd64, armel, armhf, s390x]

• dep: libstdc++6 (>= 14)

  GNU Standard C++ Library v3

• dep: r-api-4.0

  本虛擬套件由這些套件填實： r-base-core

• dep: r-cran-bh

  (Virtual) GNU R package to provide BH

• dep: r-cran-class

  GNU R package for classification

• dep: r-cran-geometry

  GNU R mesh generation and surface tesselation

• dep: r-cran-mass

  GNU R package of Venables and Ripley's MASS

• dep: r-cran-rcpp (>= 0.11.0)

  GNU R package for Seamless R and C++ Integration

• dep: r-cran-robustbase

  GNU R package providing basic robust statistics

• dep: r-cran-sfsmisc

  GNU R utilities from 'Seminar fuer Statistik' ETH Zurich

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硬體架構	套件大小	安裝後大小	檔案
amd64	1，181。9 kB	1，471。0 kB	[檔案列表]
arm64	1，165。9 kB	1，467。0 kB	[檔案列表]
armel	1，162。7 kB	1，426。0 kB	[檔案列表]
armhf	1，159。1 kB	1，345。0 kB	[檔案列表]
i386	1，184。8 kB	1，461。0 kB	[檔案列表]
mips64el	1，169。7 kB	1，554。0 kB	[檔案列表]
ppc64el	1，194。2 kB	1，531。0 kB	[檔案列表]
riscv64	1，178。9 kB	1，394。0 kB	[檔案列表]
s390x	1，201。0 kB	1，547。0 kB	[檔案列表]