[ 原始碼： r-cran-projpred ]
套件：r-cran-projpred（2.8.0+dfsg-1）
r-cran-projpred 的相關連結
Debian 的資源：
下載原始碼套件 r-cran-projpred：
- [r-cran-projpred_2.8.0+dfsg-1.dsc]
- [r-cran-projpred_2.8.0+dfsg.orig.tar.xz]
- [r-cran-projpred_2.8.0+dfsg-1.debian.tar.xz]
維護小組：
外部的資源：
- 主頁 [cran.r-project.org]
相似套件：
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.
其他與 r-cran-projpred 有關的套件
|
|
|
|
-
- dep: libblas3
- Basic Linear Algebra Reference implementations, shared library
- 或者 libblas.so.3
- 本虛擬套件由這些套件填實： libatlas3-base, libblas3, libblis4-openmp, libblis4-pthread, libblis4-serial, libopenblas0-openmp, libopenblas0-pthread, libopenblas0-serial
-
- dep: libc6 (>= 2.29)
- 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: libgcc-s1 (>= 3.5)
- GCC 支援函式庫
-
- dep: liblapack3
- Library of linear algebra routines 3 - shared version
- 或者 liblapack.so.3
- 本虛擬套件由這些套件填實： libatlas3-base, liblapack3, libopenblas0-openmp, libopenblas0-pthread, libopenblas0-serial
-
- dep: libstdc++6 (>= 13.1)
- 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-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