套件：r-cran-parameters（0.22.2-1）

[ 原始碼： 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.

其他與 r-cran-parameters 有關的套件

• dep: r-api-4.0

  本虛擬套件由這些套件填實： r-base-core

• dep: r-cran-bayestestr (>= 0.13.2)

  GNU R understand and describe Bayesian models and posterior distributions

• dep: r-cran-datawizard (>= 0.10.0)

  GNU R easy data wrangling

• dep: r-cran-insight (>= 0.20.2)

  GNU R easy access to model information for various model objects

• rec: r-cran-aer

  Applied Econometrics with R

• rec: r-cran-afex

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

• rec: r-cran-bayesfactor (>= 0.9.12-4.7)

  GNU R Bayes factors for t-tests, ANOVAs and contingency tables

• rec: r-cran-bayesfm

  GNU R Bayesian inference for factor modeling

• rec: r-cran-bbmle

  GNU R tools for general maximum likelihood estimation

• rec: r-cran-bh

  (Virtual) GNU R package to provide BH

• rec: r-cran-blme

  GNU R Bayesian linear mixed-effects models

• rec: r-cran-boot

  GNU R package for bootstrapping functions from Davison and Hinkley

• rec: r-cran-brglm2

  GNU R bias reduction in generalized linear models

• rec: r-cran-brms

  GNU R Bayesian regression models using 'Stan'

• rec: r-cran-broom

  convert statistical analysis objects into tidy data frames with GNU R

• rec: r-cran-caic4

  GNU R conditional Akaike information criterion for 'lme4'

• rec: r-cran-car

  GNU R Companion to Applied Regression by John Fox

• rec: r-cran-cardata

  GNU R package for datasets for Companion to Applied Regression

• rec: r-cran-clubsandwich

  GNU R cluster-robust (Sandwich) variance estimators with small-sample

• rec: r-cran-cluster

  GNU R package for cluster analysis by Rousseeuw et al

• rec: r-cran-coda

  Output analysis and diagnostics for MCMC simulations in R

• 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-epir

  GNU R Functions for analysing epidemiological data

• rec: r-cran-estimatr

  GNU R fast estimators for design-based inference

• rec: r-cran-factoextra

  GNU R extract and visualize multivariate data analyses

• rec: r-cran-factominer

  Multivariate Exploratory Data Analysis and Data Mining

• rec: r-cran-fastica

  GNU R package for ICA and Projection Pursuit

• rec: r-cran-fpc

  GNU R flexible procedures for clustering

• rec: r-cran-gam

  Generalized Additive Models for R

• rec: r-cran-gee

  Generalized Estimation Equation Solver

• rec: r-cran-geepack

  Generalized Estimating Equation Package for R

• rec: r-cran-ggeffects (>= 1.3.2)

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

• rec: r-cran-ggplot2

  implementation of the Grammar of Graphics

• rec: r-cran-glmmtmb

  Generalized Linear Mixed Models using Template Model Builder

• rec: r-cran-gparotation

  GNU R GPA factor rotation

• rec: r-cran-haven

  GNU R package to import/export SPSS, Stata and SAS files

• rec: r-cran-hmisc

  GNU R miscellaneous functions by Frank Harrell

• rec: r-cran-httr2

  perform HTTP requests and process the responses in GNU R

• rec: r-cran-knitr

  GNU R package for dynamic report generation using Literate Programming

• rec: r-cran-lavaan

  GNU R package for latent variable analysis -- lavaan

• rec: r-cran-lme4

  GNU R package for linear mixed effects model fitting

• rec: r-cran-lmertest

  GNU R tests in Linear Mixed Effects Models

• rec: r-cran-lmtest

  GNU R package for diagnostic checking in linear models

• rec: r-cran-logspline

  GNU R package providing routines for the logspline density estimation

• rec: r-cran-marginaleffects (>= 0.20.1)

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

• rec: r-cran-mass

  GNU R package of Venables and Ripley's MASS

• rec: r-cran-matrix

  GNU R package of classes for dense and sparse matrices

• rec: r-cran-mclogit

  GNU R multinomial logit models, with or without random effects

• rec: r-cran-mclust

  Gaussian Mixture Modelling for Model-Based Clustering

• rec: r-cran-metafor

  Meta-Analysis Package for R

• rec: r-cran-mgcv

  GNU R package for multiple parameter smoothing estimation

• rec: r-cran-mice

  GNU R multivariate imputation by chained equations

• rec: r-cran-multcomp

  GNU R package for multiple comparison procedures

• rec: r-cran-nfactors

  GNU R analysis and solutions to the Cattell Scree test

• rec: r-cran-nlme

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

• rec: r-cran-nnet

  GNU R package for feed-forward neural networks

• rec: r-cran-openxlsx

  GNU R package to read and write XLSX files

• rec: r-cran-ordinal

  GNU R regression models for ordinal data

• rec: r-cran-pbkrtest

  GNU R package for tests in linear mixed-effect models

• rec: r-cran-performance (>= 0.12.0)

  GNU R assessment of regression models performance

• rec: r-cran-plm

  GNU R estimators and tests for panel data econometrics

• 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

  GNU R package for discrete data models

• rec: r-cran-psych

  GNU R procedures for psychological, psychometric, and personality research

• rec: r-cran-pvclust

  Hierarchical Clustering with P-Values via Multiscale Bootstrap

• rec: r-cran-quantreg

  GNU R package for quantile regression

• rec: r-cran-randomforest

  GNU R package implementing the random forest classificator

• rec: r-cran-rcppeigen

  GNU R package for Eigen templated linear algebra

• 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

  Analysis of Complex Survey Samples

• rec: r-cran-survival

  GNU R package for survival analysis

• rec: r-cran-testthat (>= 3.2.1)

  GNU R testsuite

• rec: r-cran-tidyselect

  GNU R select from a set of strings

• rec: r-cran-tmb

  GNU R template model builder: general random effect tool

• rec: r-cran-vdiffr

  GNU R visual regression testing and graphical diffing

• rec: r-cran-vgam

  GNU R package for estimating vector generalized additive models

• rec: r-cran-withr

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

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