Пакет: r-cran-afex (1.3-1-1)

[ Източник: r-cran-afex  ]

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

The r-cran-afex package is a GNU R package providing convenience functions for analyzing factorial experiments using ANOVA or mixed models. aov_ez(), aov_car(), and aov_4() allow specification of between, within (i.e., repeated- measures), or mixed between-within (i.e., split- plot) ANOVAs for data in long format (i.e., one observation per row), potentially aggregating multiple observations per individual and cell of the design. mixed() fits mixed models using lme4::lmer() and computes p-values for all fixed effects using either Kenward-Roger approximation for degrees of freedom (LMM only), parametric bootstrap (LMMs and GLMMs), or likelihood ratio tests (LMMs and GLMMs). afex uses type 3 sums of squares as default (imitating commercial statistical software).

Други пакети, свързани с r-cran-afex

• dep: r-api-4.0

  виртуален пакет, предлаган от r-base-core

• dep: r-cran-car

  GNU R Companion to Applied Regression by John Fox

• dep: r-cran-lme4 (>= 1.1-8)

  GNU R package for linear mixed effects model fitting

• dep: r-cran-lmertest (>= 3.0-0)

  GNU R tests in Linear Mixed Effects Models

• dep: r-cran-pbkrtest (>= 0.4-1)

  GNU R package for tests in linear mixed-effect models

• dep: r-cran-reshape2

  Flexibly reshape data: a reboot of the reshape package

• rec: r-cran-dplyr

  GNU R grammar of data manipulation

• rec: r-cran-emmeans

  GNU R estimated marginal means, aka least-squares means

• rec: r-cran-foreign

  GNU R package to read/write data from other stat. systems

• rec: r-cran-ggbeeswarm

  GNU R categorical scatter (violin point) plots

• rec: r-cran-mlmrev

  GNU R Examples from Multilevel Modelling Software Review

• rec: r-cran-psychtools

  GNU R tools to accompany the 'r-cran-psych'

• rec: r-cran-testthat

  GNU R testsuite

• sug: r-cran-brms

  GNU R Bayesian regression models using 'Stan'

• sug: r-cran-cardata

  GNU R package for datasets for Companion to Applied Regression

• sug: r-cran-coin

  GNU R package providing conditional inference procedures

• sug: r-cran-cowplot

  GNU R streamlined plot theme and plot annotations for 'ggplot2'

• sug: r-cran-dfoptim

  GNU R derivative-free optimization

• sug: r-cran-effects

  GNU R graphical and tabular effects display for glm models

• sug: r-cran-ggplot2

  implementation of the Grammar of Graphics

• sug: r-cran-ggpubr

  GNU R ggplot2 based publication ready plots

• sug: r-cran-glmmtmb

  Generalized Linear Mixed Models using Template Model Builder

• sug: r-cran-knitr

  GNU R package for dynamic report generation using Literate Programming

• sug: r-cran-lattice

  GNU R package for 'Trellis' graphics

• sug: r-cran-latticeextra

  GNU R package of additional graphical displays based on lattice

• sug: r-cran-mass

  GNU R package of Venables and Ripley's MASS

• sug: r-cran-matrix

  GNU R package of classes for dense and sparse matrices

• sug: r-cran-multcomp

  GNU R package for multiple comparison procedures

• sug: r-cran-nlme

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

• sug: r-cran-nloptr

  GNU R package for interface to NLopt

• sug: r-cran-optimx

  GNU R expanded replacement and extension of the 'optim' function

• sug: r-cran-performance (>= 0.7.2)

  GNU R assessment of regression models performance

• sug: r-cran-plyr

  tools for splitting, applying and combining data

• sug: r-cran-r.rsp

  Dynamic Generation of Scientific Reports

• 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-statmod

  GNU R package providing algorithms and functions for statistical modeling

• sug: r-cran-tidyr

  GNU R package to easily tidy data

• sug: r-cran-vdiffr

  GNU R visual regression testing and graphical diffing

• sug: r-cran-xtable

  GNU R coerce data to LaTeX and HTML tables

Изтегляне на r-cran-afex

Изтегляне за всички налични архитектури

Архитектура	Големина на пакета	Големина след инсталиране	Файлове
all	3 808,1 кБ	6 171,0 кБ	[списък на файловете]