Пакунок: r-cran-afex (1.4-1-1)
Links for r-cran-afex
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Download Source Package r-cran-afex:
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External Resources:
- Homepage [cran.r-project.org]
Similar packages:
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).
Інші пакунки пов'язані з r-cran-afex
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- dep: r-api-4.0
- virtual package provided by r-base-core
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- dep: r-cran-car
- GNU R Companion to Applied Regression by John Fox
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- dep: r-cran-lme4 (>= 1.1-8)
- GNU R package for linear mixed effects model fitting
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- dep: r-cran-lmertest (>= 3.0-0)
- GNU R tests in Linear Mixed Effects Models
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- dep: r-cran-pbkrtest (>= 0.4-1)
- GNU R package for tests in linear mixed-effect models
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- dep: r-cran-reshape2
- Flexibly reshape data: a reboot of the reshape package
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- rec: r-cran-brms
- GNU R Bayesian regression models using 'Stan'
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- rec: r-cran-cardata
- GNU R package for datasets for Companion to Applied Regression
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- rec: r-cran-coin
- GNU R package providing conditional inference procedures
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- rec: r-cran-cowplot
- GNU R streamlined plot theme and plot annotations for 'ggplot2'
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- rec: r-cran-dfoptim
- GNU R derivative-free optimization
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- rec: r-cran-dplyr
- GNU R grammar of data manipulation
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- rec: r-cran-effects
- GNU R graphical and tabular effects display for glm models
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- rec: r-cran-emmeans (>= 1.4)
- GNU R estimated marginal means, aka least-squares means
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- rec: r-cran-ggbeeswarm
- GNU R categorical scatter (violin point) plots
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- rec: r-cran-ggplot2
- implementation of the Grammar of Graphics
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- rec: r-cran-ggpubr
- GNU R ggplot2 based publication ready plots
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- rec: r-cran-glmmtmb
- Generalized Linear Mixed Models using Template Model Builder
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- rec: r-cran-knitr
- GNU R package for dynamic report generation using Literate Programming
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- rec: r-cran-lattice
- GNU R package for 'Trellis' graphics
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- rec: r-cran-latticeextra
- GNU R package of additional graphical displays based on lattice
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- rec: r-cran-mass
- GNU R package of Venables and Ripley's MASS
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- rec: r-cran-matrix
- GNU R package of classes for dense and sparse matrices
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- rec: r-cran-mlmrev
- GNU R Examples from Multilevel Modelling Software Review
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- rec: r-cran-multcomp
- GNU R package for multiple comparison procedures
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- rec: r-cran-nlme
- GNU R package for (non-)linear mixed effects models
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- rec: r-cran-nloptr
- GNU R package for interface to NLopt
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- rec: r-cran-optimx
- GNU R expanded replacement and extension of the 'optim' function
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- rec: r-cran-performance (>= 0.7.2)
- GNU R assessment of regression models performance
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- rec: r-cran-plyr
- tools for splitting, applying and combining data
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- rec: r-cran-psychtools
- GNU R tools to accompany the 'r-cran-psych'
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- rec: r-cran-r.rsp
- Dynamic Generation of Scientific Reports
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- rec: r-cran-rmarkdown
- convert R markdown documents into a variety of formats
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- rec: r-cran-rstanarm
- GNU R bayesian applied regression modeling via stan
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- rec: r-cran-statmod
- GNU R package providing algorithms and functions for statistical modeling
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- rec: r-cran-testthat
- GNU R testsuite
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- rec: r-cran-tidyr
- GNU R package to easily tidy data
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- rec: r-cran-vdiffr
- GNU R visual regression testing and graphical diffing
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- rec: r-cran-xtable
- GNU R coerce data to LaTeX and HTML tables
Завантажити r-cran-afex
Архітектура | Розмір пакунка | Розмір після встановлення | Файли |
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all | 3,399.4 kB | 5,536.0 kB | [список файлів] |