Paket: r-cran-projpred (2.8.0+dfsg-1)

[ Kaynak: r-cran-projpred  ]

GNU R projection predictive feature selection

Performs projection predictive feature selection for generalized linear models (see, Piironen, Paasiniemi and Vehtari, 2018, <arXiv:1810.02406>). The package is compatible with the 'rstanarm' and 'brms' packages, but other reference models can also be used. See the package vignette for more information and examples.

r-cran-projpred ile İlgili Diğer Paketler

• dep: libblas3

  Basic Linear Algebra Reference implementations, shared library

  ya da libblas.so.3

  sanal paketi sağlayan 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 (>= 3.0)

  GCC support library

• dep: liblapack3

  Library of linear algebra routines 3 - shared version

  ya da liblapack.so.3

  sanal paketi sağlayan liblapack3, libopenblas0-openmp, libopenblas0-pthread, libopenblas0-serial

• dep: libstdc++6 (>= 13.1)

  GNU Standard C++ Library v3

• dep: r-api-4.0

  sanal paketi sağlayan r-base-core

• dep: r-cran-abind

  GNU R abind multi-dimensional array combination function

• dep: r-cran-gamm4

  GNU R generalized additive mixed models using 'mgcv' and 'lme4'

• dep: r-cran-ggplot2

  implementation of the Grammar of Graphics

• dep: r-cran-gtools

  GNU R package with R programming tools by Greg Warnes et al

• dep: r-cran-lme4 (>= 1.1-28)

  GNU R package for linear mixed effects model fitting

• dep: r-cran-loo (>= 2.0.0)

  GNU R leave-one-out cross-validation and WAIC for Bayesian models

• dep: r-cran-mass

  GNU R package of Venables and Ripley's MASS

• dep: r-cran-mclogit

  GNU R multinomial logit models, with or without random effects

• dep: r-cran-mgcv

  GNU R package for multiple parameter smoothing estimation

• dep: r-cran-mvtnorm

  GNU R package to compute multivariate Normal and T distributions

• dep: r-cran-nnet

  GNU R package for feed-forward neural networks

• dep: r-cran-ordinal

  GNU R regression models for ordinal data

• dep: r-cran-rcpp

  GNU R package for Seamless R and C++ Integration

• dep: r-cran-rcpparmadillo

  GNU R package for Armadillo C++ linear algebra library

• dep: r-cran-rstantools (>= 2.0.0)

  tools for developing GNU R packages interfacing with 'Stan'

• dep: r-cran-scales

  Scale functions for visualization

• rec: r-cran-bayesplot (>= 1.5.0)

  GNU R plotting for bayesian models

• rec: r-cran-brms

  GNU R Bayesian regression models using 'Stan'

• rec: r-cran-doparallel

  GNU R foreach parallel adaptor for the parallel package

• rec: r-cran-dorng

  GNU R generic reproducible parallel backend for 'foreach' loops

• rec: r-cran-foreach

  GNU R foreach looping support

• rec: r-cran-future

  R package: A Future API for R

• rec: r-cran-ggrepel

  auto-position non-overlapping text labels in plots

• rec: r-cran-glmnet

  Lasso and Elastic-Net Regularized Generalized Linear Models

• rec: r-cran-iterators

  GNU R iterator support for vectors, lists and other containers

• rec: r-cran-knitr

  GNU R package for dynamic report generation using Literate Programming

• rec: r-cran-nlme

  GNU R package for (non-)linear mixed effects models

• rec: r-cran-optimx

  GNU R expanded replacement and extension of the 'optim' function

• rec: r-cran-posterior

  GNU R tools for working with posterior distributions

• rec: r-cran-rlang

  Functions for Base Types and Core R and 'Tidyverse' Features

• rec: r-cran-rmarkdown

  convert R markdown documents into a variety of formats

• rec: r-cran-rstanarm

  GNU R bayesian applied regression modeling via stan

• rec: r-cran-testthat

  GNU R testsuite

• rec: r-cran-ucminf

  GNU R general-purpose unconstrained non-linear optimization

• rec: r-cran-vdiffr

  GNU R visual regression testing and graphical diffing

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Tüm mevcut mimariler için indir

Mimari	Paket Boyutu	Kurulu Boyut	Dosyalar
amd64	963,1 kB	1.294,0 kB	[dosya listesi]