软件包：r-cran-parameters（0.21.5-1）

[ 源代码： r-cran-parameters  ]

GNU R processing of model parameters

Utilities for processing the parameters of various statistical models. Beyond computing p values, CIs, and other indices for a wide variety of models (see support list of insight; Lüdecke, Waggoner & Makowski (2019) <doi:10.21105/joss.01412>), this package implements features like standardization or bootstrapping of parameters and models, feature reduction (feature extraction and variable selection) as well as conversion between indices of effect size.

其他与 r-cran-parameters 有关的软件包

• dep: r-api-4.0

  本虚包由这些包填实： r-base-core

• dep: r-cran-bayestestr (>= 0.13.1)

  GNU R understand and describe Bayesian models and posterior distributions

• dep: r-cran-datawizard (>= 0.9.1)

  GNU R easy data wrangling

• dep: r-cran-insight (>= 0.19.8)

  GNU R easy access to model information for various model objects

• rec: r-cran-aer

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• rec: r-cran-afex

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

• rec: r-cran-bayesfactor

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• rec: r-cran-bayesfm

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• rec: r-cran-bbmle

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• rec: r-cran-bh

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• rec: r-cran-blme

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• rec: r-cran-boot

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• rec: r-cran-brglm2

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• rec: r-cran-brms

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• rec: r-cran-broom

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• rec: r-cran-caic4

  GNU R conditional Akaike information criterion for 'lme4'

• rec: r-cran-car

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• rec: r-cran-cardata

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• rec: r-cran-clubsandwich

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• rec: r-cran-cluster

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• rec: r-cran-coda

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• rec: r-cran-dbscan

  Density Based Clustering of Applications with Noise (DBSCAN)

• rec: r-cran-drr

  GNU R dimensionality reduction via regression

• rec: r-cran-effectsize (>= 0.8.6)

  GNU R indices of effect size and standardized parameters

• rec: r-cran-emmeans (>= 1.7.0)

  GNU R estimated marginal means, aka least-squares means

• rec: r-cran-estimatr

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• rec: r-cran-factoextra

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• rec: r-cran-factominer

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• rec: r-cran-fastica

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• rec: r-cran-fpc

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• rec: r-cran-gam

  Generalized Additive Models for R

• rec: r-cran-gee

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• rec: r-cran-geepack

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• rec: r-cran-ggeffects (>= 1.3.2)

  GNU R create tidy data frames of marginal effects for 'ggplot'

• rec: r-cran-ggplot2

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• rec: r-cran-glmmtmb

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• rec: r-cran-gparotation

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• rec: r-cran-haven

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• rec: r-cran-hmisc

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• rec: r-cran-httr

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• rec: r-cran-knitr

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• rec: r-cran-lavaan

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• rec: r-cran-lme4

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• rec: r-cran-lmertest

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• rec: r-cran-lmtest

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• rec: r-cran-logspline

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• rec: r-cran-mass

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• rec: r-cran-matrix

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• rec: r-cran-mclogit

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• rec: r-cran-mclust

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• rec: r-cran-metafor

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• rec: r-cran-mgcv

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• rec: r-cran-multcomp

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• rec: r-cran-nfactors

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• rec: r-cran-nlme

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• rec: r-cran-nnet

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• rec: r-cran-openxlsx

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• rec: r-cran-ordinal

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• rec: r-cran-pbkrtest

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• rec: r-cran-performance (>= 0.10.8)

  GNU R assessment of regression models performance

• rec: r-cran-plm

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• rec: r-cran-poorman

  Poor Man's dependency free recreation of 'dplyr' GNU R package

• rec: r-cran-posterior

  GNU R tools for working with posterior distributions

• rec: r-cran-pscl

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• rec: r-cran-psych

  GNU R procedures for psychological, psychometric, and personality research

• rec: r-cran-pvclust

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• rec: r-cran-quantreg

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• rec: r-cran-randomforest

  GNU R package implementing the random forest classificator

• rec: r-cran-rmarkdown

  convert R markdown documents into a variety of formats

• rec: r-cran-rms

  GNU R regression modeling strategies by Frank Harrell

• rec: r-cran-rstanarm

  GNU R bayesian applied regression modeling via stan

• rec: r-cran-sandwich

  GNU R package for model-robust standard error estimates

• rec: r-cran-survey

  GNU R analysis of complex survey samples

• rec: r-cran-survival

  GNU R package for survival analysis

• rec: r-cran-testthat

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• rec: r-cran-tidyselect

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• rec: r-cran-tmb

  GNU R template model builder: general random effect tool

• rec: r-cran-vgam

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• rec: r-cran-withr

  GNU R package to run code 'With' temporarily modified global state

• sug: r-cran-marginaleffects (>= 0.16.0)

  GNU R predictions, comparisons, slopes, marginal means, and hypothesis

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