Пакунок: r-cran-parameters (0.21.5-1)

[ Source: 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.

Інші пакунки пов'язані з r-cran-parameters

• dep: r-api-4.0

  virtual package provided by 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

  Applied Econometrics with R

• rec: r-cran-afex

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

• rec: r-cran-bayesfactor

  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-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-httr

  GNU R tools for working with URLs and HTTP

• 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-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 (>= 0.10.8)

  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-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

  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-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

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

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

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