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

[ Källkod: 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.

Andra paket besläktade med r-cran-projpred

• dep: libblas3

  Basic Linear Algebra Reference implementations, shared library

  eller libblas.so.3

  virtuellt paket som tillhandahålls av libblas3, libblis4-openmp, libblis4-pthread, libblis4-serial, libopenblas0-openmp, libopenblas0-pthread, libopenblas0-serial

• dep: libc6 (>= 2.27)

  GNU C-bibliotek: Delade bibliotek
  också ett virtuellt paket som tillhandahålls av libc6-udeb

• dep: libgcc-s1 (>= 3.0)

  GCC stödbibliotek

• dep: liblapack3

  Library of linear algebra routines 3 - shared version

  eller liblapack.so.3

  virtuellt paket som tillhandahålls av liblapack3, libopenblas0-openmp, libopenblas0-pthread, libopenblas0-serial

• dep: libstdc++6 (>= 13.1)

  GNU standardbibliotek v3 för C++

• dep: r-api-4.0

  virtuellt paket som tillhandahålls av 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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Arkitektur	Paketstorlek	Installerad storlek	Filer
riscv64	963,0 kbyte	1.258,0 kbyte	[filförteckning]