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Paket: r-cran-mertools (0.5.2-1)

GNU R tools for analyzing mixed effect regression models

Provides methods for extracting results from mixed-effect model objects fit with the 'lme4' package. Allows construction of prediction intervals efficiently from large scale linear and generalized linear mixed-effects models.

Andra paket besläktade med r-cran-mertools

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  • dep: r-api-4.0
    virtuellt paket som tillhandahålls av r-base-core
  • dep: r-base-core (>= 4.0.2-1build1)
    GNU R core of statistical computation and graphics system
  • dep: r-cran-abind
    GNU R abind multi-dimensional array combination function
  • dep: r-cran-arm
    Data Analysis Using Regression and Multilevel/Hierarchical Models
  • dep: r-cran-blme
    GNU R Bayesian linear mixed-effects models
  • dep: r-cran-broom.mixed
    GNU R tidying methods for mixed models
  • dep: r-cran-dplyr
    GNU R grammar of data manipulation
  • dep: r-cran-foreach
    GNU R foreach looping support
  • dep: r-cran-ggplot2
    implementation of the Grammar of Graphics
  • dep: r-cran-lme4 (>= 1.1-11)
    GNU R package for linear mixed effects model fitting
  • dep: r-cran-mvtnorm
    GNU R package to compute multivariate Normal and T distributions
  • dep: r-cran-shiny
    GNU R web application framework
  • sug: r-cran-amelia
    GNU R package supporting multiple imputation of missing data
  • sug: r-cran-dt
    GNU R wrapper of the JavaScript library 'DataTables'
  • sug: r-cran-future.apply
    apply function to elements in parallel using futures
  • sug: r-cran-knitr
    GNU R package for dynamic report generation using Literate Programming
  • sug: r-cran-nlme
    GNU R package for (non-)linear mixed effects models
  • sug: r-cran-rmarkdown
    convert R markdown documents into a variety of formats
  • sug: r-cran-rstanarm
    GNU R bayesian applied regression modeling via stan

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