Пакунок: r-cran-effectsize (0.8.9+dfsg-1)

[ Source: r-cran-effectsize  ]

GNU R indices of effect size and standardized parameters

Provide utilities to work with indices of effect size and standardized parameters for a wide variety of models (see support list of insight; Lüdecke, Waggoner & Makowski (2019) <doi:10.21105/joss.01412>), allowing computation and conversion of indices such as Cohen's d, r, odds, etc.

Інші пакунки пов'язані з r-cran-effectsize

• dep: r-api-4.0

  virtual package provided by r-base-core

• dep: r-cran-bayestestr (>= 0.13.2)

  GNU R understand and describe Bayesian models and posterior distributions

• dep: r-cran-datawizard (>= 0.11.0)

  GNU R easy data wrangling

• dep: r-cran-insight (>= 0.20.1)

  GNU R easy access to model information for various model objects

• dep: r-cran-parameters (>= 0.22.0)

  GNU R processing of model parameters

• dep: r-cran-performance (>= 0.12.0)

  GNU R assessment of regression models performance

• rec: r-cran-afex

  GNU R package for analyzing factorial experiments using ANOVA or mixed models

• rec: r-cran-bayesfactor

  GNU R Bayes factors for t-tests, ANOVAs and contingency tables

• rec: r-cran-boot

  GNU R package for bootstrapping functions from Davison and Hinkley

• rec: r-cran-brms

  GNU R Bayesian regression models using 'Stan'

• rec: r-cran-car

  GNU R Companion to Applied Regression by John Fox

• rec: r-cran-emmeans

  GNU R estimated marginal means, aka least-squares means

• rec: r-cran-knitr

  GNU R package for dynamic report generation using Literate Programming

• rec: r-cran-lavaan

  GNU R package for latent variable analysis -- lavaan

• rec: r-cran-lme4

  GNU R package for linear mixed effects model fitting

• rec: r-cran-lmertest

  GNU R tests in Linear Mixed Effects Models

• rec: r-cran-mgcv

  GNU R package for multiple parameter smoothing estimation

• rec: r-cran-pwr

  GNU R basic functions for power analysis

• rec: r-cran-rmarkdown

  convert R markdown documents into a variety of formats

• rec: r-cran-rms

  GNU R regression modeling strategies by Frank Harrell

• rec: r-cran-rstanarm

  GNU R bayesian applied regression modeling via stan

• rec: r-cran-rstantools

  tools for developing GNU R packages interfacing with 'Stan'

• rec: r-cran-testthat (>= 3.1.0)

  GNU R testsuite

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