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Pakket: r-cran-vcdextra (0.7-6-1)

GNU R package providing extensions and additions to the vcd package

The vcdExtra package is a GNU R package providing additional data sets, methods and documentation to complement the 'vcd' package for Visualizing Categorical Data and the 'gnm' package for Generalized Nonlinear Models. In particular, 'vcdExtra' extends mosaic, assoc and sieve plots from 'vcd' to handle 'glm()' and 'gnm()' models and adds a 3D version in 'mosaic3d'. Additionally, methods are provided for comparing and visualizing lists of 'glm' and 'loglm' objects. This package is now a support package for the book, "Discrete Data Analysis with R" by Michael Friendly and David Meyer.

Andere aan r-cran-vcdextra gerelateerde pakketten

  • depends
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  • dep: r-api-4.0
    virtueel pakket geboden door r-base-core
  • dep: r-base-core (>= 4.1.2-1ubuntu2)
    GNU R core of statistical computation and graphics system
  • dep: r-cran-ca
    GNU R package for simple, multiple and joint correspondence analysis
  • dep: r-cran-gnm (>= 1.0-3)
    GNU R package for generalized nonlinear models
  • dep: r-cran-mass
    GNU R package of Venables and Ripley's MASS
  • dep: r-cran-vcd
    GNU R Visualizing Categorical Data
  • sug: r-cran-aer
    Applied Econometrics with R
  • sug: r-cran-car
    GNU R Companion to Applied Regression by John Fox
  • sug: r-cran-effects
    GNU R graphical and tabular effects display for glm models
  • sug: r-cran-ggplot2
    implementation of the Grammar of Graphics
  • sug: r-cran-gmodels
    GNU R package with tools for model fitting by Greg Warnes et al
  • sug: r-cran-lattice
    GNU R package for 'Trellis' graphics
  • sug: r-cran-lmtest
    GNU R package for diagnostic checking in linear models
  • sug: r-cran-nnet
    GNU R package for feed-forward neural networks
  • sug: r-cran-plyr
    tools for splitting, applying and combining data
  • sug: r-cran-rgl
    GNU R package for three-dimensional visualisation using OpenGL
  • sug: r-cran-vgam
    GNU R package for estimating vector generalized additive models

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