Пакунок: r-cran-performance (0.12.3-1)

[ Source: r-cran-performance  ]

GNU R assessment of regression models performance

Utilities for computing measures to assess model quality, which are not directly provided by R's 'base' or 'stats' packages. These include e.g. measures like r-squared, intraclass correlation coefficient (Nakagawa, Johnson & Schielzeth (2017) <doi:10.1098/rsif.2017.0213>), root mean squared error or functions to check models for overdispersion, singularity or zero-inflation and more. Functions apply to a large variety of regression models, including generalized linear models, mixed effects models and Bayesian models.

Інші пакунки пов'язані з r-cran-performance

• dep: r-api-4.0

  virtual package provided by 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

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

• rec: r-cran-bayesplot

  GNU R plotting for bayesian models

• rec: r-cran-boot

  GNU R package for bootstrapping functions from Davison and Hinkley

• rec: r-cran-brms

  GNU R Bayesian regression models using 'Stan'

• 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-dbscan

  Density Based Clustering of Applications with Noise (DBSCAN)

• rec: r-cran-estimatr

  GNU R fast estimators for design-based inference

• rec: r-cran-flextable

  GNU R functions for tabular reporting

• rec: r-cran-forecast

  GNU R forecasting functions for time series and linear models

• rec: r-cran-gamm4

  GNU R generalized additive mixed models using 'mgcv' and 'lme4'

• rec: r-cran-glmmtmb

  Generalized Linear Mixed Models using Template Model Builder

• 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-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-lmtest

  GNU R package for diagnostic checking in linear models

• rec: r-cran-loo

  GNU R leave-one-out cross-validation and WAIC for Bayesian models

• 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-metadat

  GNU R meta-analysis datasets

• rec: r-cran-metafor

  Meta-Analysis Package for R

• rec: r-cran-mgcv

  GNU R package for multiple parameter smoothing estimation

• rec: r-cran-nlme

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

• rec: r-cran-ordinal

  GNU R regression models for ordinal data

• rec: r-cran-parameters (>= 0.21.6)

  GNU R processing of model parameters

• rec: r-cran-patchwork

  GNU R the composer of plots

• 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-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-rstanarm

  GNU R bayesian applied regression modeling via stan

• rec: r-cran-rstantools

  tools for developing GNU R packages interfacing with '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-vgam

  GNU R package for estimating vector generalized additive models

• rec: r-cran-withr (>= 3.0.0)

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

Завантажити r-cran-performance

Завантаження для всіх доступних архітектур

Архітектура	Розмір пакунка	Розмір після встановлення	Файли
all	3,040.6 kB	3,800.0 kB	[список файлів]