Paket: r-cran-conquer (1.3.3-1)

r-cran-conquer için bağlantılar

Debian Kaynakları:

r-cran-conquer Kaynak Paketini İndir:

Geliştirici:

Dirk Eddelbuettel (QA Sayfası)

Dış Kaynaklar:

Ana Sayfa [cran.r-project.org]

Benzer paketler:

GNU R package for convolution-type smoothed quantile regression

The package offers fast and accurate convolution-type smoothed quantile regression. It is implemented using Barzilai-Borwein gradient descent with a Huber regression warm start. It constructs confidence intervals for regression coefficients using multiplier bootstrap.

r-cran-conquer ile İlgili Diğer Paketler

bağımlılıklar

tavsiye edilen

önerilen

enhances

dep: libblas3

Basic Linear Algebra Reference implementations, shared library

ya da libblas.so.3

sanal paketi sağlayan libatlas3-base, libblas3, libblis4-openmp, libblis4-pthread, libblis4-serial, libopenblas0-openmp, libopenblas0-pthread, libopenblas0-serial
dep: libc6 (>= 2.29)

GNU C Library: Shared libraries
ayrıca şunun tarafından sağlanan bir sanal paket libc6-udeb
dep: libgcc-s1 (>= 3.5)

GCC support library
dep: libgomp1 (>= 4.9)

GCC OpenMP (GOMP) support library
dep: liblapack3

Library of linear algebra routines 3 - shared version

ya da liblapack.so.3

sanal paketi sağlayan libatlas3-base, liblapack3, libopenblas0-openmp, libopenblas0-pthread, libopenblas0-serial
dep: libstdc++6 (>= 10.2)

GNU Standard C++ Library v3
dep: r-api-4.0

sanal paketi sağlayan r-base-core
dep: r-base-core (>= 4.2.2.20221110-2)

GNU R core of statistical computation and graphics system
dep: r-cran-caret

GNU R package for classification and regression training
dep: r-cran-matrix

GNU R package of classes for dense and sparse matrices
dep: r-cran-matrixstats

GNU R methods that apply to rows and columns of a matrix
dep: r-cran-rcpp (>= 1.0.3)

GNU R package for Seamless R and C++ Integration
dep: r-cran-rcpparmadillo (>= 0.9.850.1.0)

GNU R package for Armadillo C++ linear algebra library

r-cran-conquer indir

Tüm mevcut mimariler için indir
Mimari	Paket Boyutu	Kurulu Boyut	Dosyalar
armel	409,6 kB	1.567,0 kB	[dosya listesi]