Paket: r-cran-sjstats (0.18.2-1)

[ 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-base-core (>= 4.2.2.20221110-1)

  GNU R - System für statistische Berechnungen und Grafik - Kern

• dep: r-cran-bayestestr

  GNU R understand and describe Bayesian models and posterior distributions

• dep: r-cran-broom

  convert statistical analysis objects into tidy data frames with GNU R

• dep: r-cran-datawizard

  GNU R easy data wrangling

• dep: r-cran-dplyr

  GNU R grammar of data manipulation

• dep: r-cran-effectsize

  GNU R indices of effect size and standardized parameters

• dep: r-cran-emmeans

  GNU R estimated marginal means, aka least-squares means

• dep: r-cran-insight

  GNU R easy access to model information for various model objects

• dep: r-cran-lme4

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

• dep: r-cran-magrittr

  GNU R forward-pipe operator

• dep: r-cran-mass

  GNU-R-Paket für MASS von Venables und Ripley

• dep: r-cran-modelr

  GNU R modelling functions that work with the pipe

• dep: r-cran-parameters

  GNU R processing of model parameters

• dep: r-cran-performance

  GNU R assessment of regression models performance

• dep: r-cran-purrr

  GNU R functional programming tools

• dep: r-cran-rlang

  Functions for Base Types and Core R and 'Tidyverse' Features

• dep: r-cran-sjlabelled

  GNU R labelled data utility functions

• dep: r-cran-sjmisc

  GNU R data and variable transformation functions

• dep: r-cran-tidyr

  GNU R package to easily tidy data

• rec: r-cran-survey

  GNU R analysis of complex survey samples

• rec: r-cran-testthat

  GNU R testsuite

• sug: r-cran-brms

  GNU R Bayesian regression models using 'Stan'

• sug: r-cran-car

  GNU R Companion to Applied Regression von John Fox

• sug: r-cran-coin

  GNU R package providing conditional inference procedures

• sug: r-cran-ggplot2

  Implementierung der »Grammar of Graphics«

• sug: r-cran-pscl

  GNU R package for discrete data models

• sug: r-cran-pwr

  GNU R basic functions for power analysis

• sug: r-cran-rstan

  GNU R interface to Stan

• sug: r-cran-sjplot

  GNU R data visualization for statistics in social science

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