Paket: r-cran-sjstats (0.19.0-1)

[ Quellcode: r-cran-sjstats  ]

GNU R collection of convenient functions for statistical computations

Collection of convenient functions for common statistical computations, which are not directly provided by R's base or stats packages. This package aims at providing, first, shortcuts for statistical measures, which otherwise could only be calculated with additional effort (like standard errors or root mean squared errors). Second, these shortcut functions are generic (if appropriate), and can be applied not only to vectors, but also to other objects as well (e.g., the Coefficient of Variation can be computed for vectors, linear models, or linear mixed models; the r2()-function returns the r-squared value for 'lm', 'glm', 'merMod' or 'lme' objects). The focus of most functions lies on summary statistics or fit measures for regression models, including generalized linear models and mixed effects models. However, some of the functions also deal with other statistical measures, like Cronbach's Alpha, Cramer's V, Phi etc.

Andere Pakete mit Bezug zu r-cran-sjstats

• dep: r-api-4.0

  virtuelles Paket, bereitgestellt durch r-base-core

• dep: r-cran-datawizard

  GNU R easy data wrangling

• dep: r-cran-effectsize (>= 0.8.8)

  GNU R indices of effect size and standardized parameters

• dep: r-cran-insight

  GNU R easy access to model information for various model objects

• dep: r-cran-parameters

  GNU R processing of model parameters

• dep: r-cran-performance

  GNU R assessment of regression models performance

• rec: r-cran-brms

  GNU R Bayesian regression models using 'Stan'

• rec: r-cran-car

  GNU R Companion to Applied Regression von John Fox

• rec: r-cran-coin

  GNU R package providing conditional inference procedures

• rec: r-cran-ggplot2

  Implementierung der »Grammar of Graphics«

• rec: r-cran-lme4

  GNU-R-Paket zur Anpassung linearer Mixed-Effects-Modelle

• rec: r-cran-mass

  GNU-R-Paket für MASS von Venables und Ripley

• rec: r-cran-pscl

  GNU R package for discrete data models

• rec: r-cran-pwr

  GNU R basic functions for power analysis

• rec: r-cran-survey

  Analysis of Complex Survey Samples

• rec: r-cran-testthat

  GNU R testsuite

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