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Paket: r-cran-performance (0.8.0-1)

GNU R assessment of regression models performance

Utilities for computing measures to assess model quality, which are not directly provided by R's 'base' or 'stats' packages. These include e.g. measures like r-squared, intraclass correlation coefficient (Nakagawa, Johnson & Schielzeth (2017) <doi:10.1098/rsif.2017.0213>), root mean squared error or functions to check models for overdispersion, singularity or zero-inflation and more. Functions apply to a large variety of regression models, including generalized linear models, mixed effects models and Bayesian models.

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  • dep: r-api-4.0
    virtuelles Paket, bereitgestellt durch r-base-core
  • dep: r-base-core (>= 4.1.1-2)
    GNU R core of statistical computation and graphics system
  • dep: r-cran-bayestestr (>= 0.9.0)
    GNU R understand and describe Bayesian models and posterior distributions
  • dep: r-cran-datawizard (>= 0.2.0)
    GNU R easy data wrangling
  • dep: r-cran-insight (>= 0.14.0)
    GNU R easy access to model information for various model objects
  • sug: r-cran-afex
    GNU R package for analyzing factorial experiments using ANOVA or mixed models
  • sug: r-cran-brms
    GNU R Bayesian regression models using 'Stan'
  • sug: r-cran-car
    GNU R Companion to Applied Regression by John Fox
  • sug: r-cran-dplyr
    GNU R grammar of data manipulation
  • sug: r-cran-forecast
    GNU R forecasting functions for time series and linear models
  • sug: r-cran-gamm4
    GNU R generalized additive mixed models using 'mgcv' and 'lme4'
  • sug: r-cran-ggplot2
    implementation of the Grammar of Graphics
  • sug: r-cran-lavaan
    GNU R package for latent variable analysis -- lavaan
  • sug: r-cran-lmtest
    GNU R package for diagnostic checking in linear models
  • sug: r-cran-loo
    GNU R leave-one-out cross-validation and WAIC for Bayesian models
  • sug: r-cran-magrittr
    GNU R forward-pipe operator
  • sug: r-cran-matrix
    GNU R package of classes for dense and sparse matrices
  • sug: r-cran-mclust
    Gaussian Mixture Modelling for Model-Based Clustering
  • sug: r-cran-mgcv
    GNU R package for multiple parameter smoothing estimation
  • sug: r-cran-nlme
    GNU R package for (non-)linear mixed effects models
  • sug: r-cran-parameters
    GNU R processing of model parameters
  • sug: r-cran-patchwork
    GNU R the composer of plots
  • sug: r-cran-psych
    GNU R procedures for psychological, psychometric, and personality research
  • sug: r-cran-randomforest
    GNU R package implementing the random forest classificator
  • 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
  • sug: r-cran-sandwich
    GNU R package for model-robust standard error estimates
  • sug: r-cran-spelling
    tools for spell checking in GNU R
  • sug: r-cran-survey
    GNU R analysis of complex survey samples
  • sug: r-cran-survival
    GNU R package for survival analysis
  • sug: r-cran-vgam
    GNU R package for estimating vector generalized additive models

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