Пакунок: r-cran-sjstats (0.17.3-1)

[ Source: 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.

Інші пакунки пов'язані з r-cran-sjstats

• dep: r-api-3.5

  virtual package provided by r-base-core

• dep: r-base-core (>= 3.5.2-1)

  GNU R core of statistical computation and graphics system

• dep: r-cran-bayesplot

  GNU R plotting for bayesian models

• dep: r-cran-broom

  convert statistical analysis objects into tidy data frames with GNU R

• dep: r-cran-coin

  GNU R package providing conditional inference procedures

• dep: r-cran-crayon

  GNU R colored terminal output

• dep: r-cran-dplyr

  GNU R grammar of data manipulation

• dep: r-cran-emmeans

  GNU R estimated marginal means, aka least-squares means

• dep: r-cran-glmmtmb (>= 0.2.2.0)

  Generalized Linear Mixed Models using Template Model Builder

• dep: r-cran-lme4

  GNU R package for linear mixed effects model fitting

• dep: r-cran-magrittr

  GNU R forward-pipe operator

• dep: r-cran-mass

  GNU R package of Venables and Ripley's MASS

• dep: r-cran-matrix

  GNU R package of classes for dense and sparse matrices

• dep: r-cran-modelr

  GNU R modelling functions that work with the pipe

• dep: r-cran-nlme

  GNU R package for (non-)linear mixed effects models

• dep: r-cran-purrr

  GNU R functional programming tools

• dep: r-cran-pwr

  GNU R basic functions for power analysis

• dep: r-cran-rlang

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

• dep: r-cran-sjlabelled (>= 1.0.14)

  GNU R labelled data utility functions

• dep: r-cran-sjmisc (>= 2.7.5)

  GNU R data and variable transformation functions

• dep: r-cran-tidyr

  GNU R package to easily tidy data

• sug: r-cran-car

  GNU R Companion to Applied Regression by John Fox

• sug: r-cran-ggplot2

  implementation of the Grammar of Graphics

• sug: r-cran-ggridges

  Ridgeline Plots in 'ggplot2'

• sug: r-cran-knitr

  GNU R package for dynamic report generation using Literate Programming

• sug: r-cran-loo

  GNU R leave-one-out cross-validation and WAIC for Bayesian models

• sug: r-cran-pbkrtest (>= 0.4-7)

  GNU R package for tests in linear mixed-effect models

• sug: r-cran-psych

  GNU R procedures for psychological, psychometric, and personality research

• sug: r-cran-rstan

  GNU R interface to Stan

• sug: r-cran-rstantools

  tools for developing GNU R packages interfacing with 'Stan'

• sug: r-cran-sandwich

  GNU R package for model-robust standard error estimates

• sug: r-cran-scales

  Scale functions for visualization

• sug: r-cran-sjplot

  GNU R data visualization for statistics in social science

• sug: r-cran-survey

  GNU R analysis of complex survey samples

• sug: r-cran-testthat

  GNU R testsuite

• sug: r-cran-vgam

  GNU R package for estimating vector generalized additive models

• sug: r-cran-zelig

  GNU R package providing a unified front-end for estimating statistical models

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