[ nabia ]
[ aramo ]
[ 原始碼： r-cran-performance ]
套件： r-cran-performance (0.8.0-1)
r-cran-performance 的相關超連結
Trisquel 的資源：
下載原始碼套件 r-cran-performance：
- [r-cran-performance_0.8.0-1.dsc]
- [r-cran-performance_0.8.0.orig.tar.gz]
- [r-cran-performance_0.8.0-1.debian.tar.xz]
維護者：
Original Maintainers:
- Debian R Packages Maintainers
- Andreas Tille
外部的資源：
- 主頁 [cran.r-project.org]
相似套件：
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.
其他與 r-cran-performance 有關的套件
|
|
|
-
- dep: r-api-4.0
- 本虛擬套件由這些套件提供： r-base-core
-
- dep: r-base-core (>= 4.1.1-2)
- GNU R core of statistical computation and graphics system
-
- dep: r-cran-bayestestr (>= 0.9.0)
- GNU R understand and describe Bayesian models and posterior distributions
-
- dep: r-cran-datawizard (>= 0.2.0)
- GNU R easy data wrangling
-
- dep: r-cran-insight (>= 0.14.0)
- GNU R easy access to model information for various model objects
-
- rec: r-cran-aer
- Applied Econometrics with R
-
- rec: r-cran-bayesfactor
- GNU R Bayes factors for t-tests, ANOVAs and contingency tables
-
- rec: r-cran-glmmtmb
- Generalized Linear Mixed Models using Template Model Builder
-
- rec: r-cran-lme4
- GNU R package for linear mixed effects model fitting
-
- rec: r-cran-mass
- GNU R package of Venables and Ripley's MASS
-
- rec: r-cran-metafor
- Meta-Analysis Package for R
-
- rec: r-cran-ordinal
- GNU R regression models for ordinal data
-
- rec: r-cran-pscl
- GNU R package for discrete data models
-
- rec: r-cran-rstantools
- tools for developing GNU R packages interfacing with 'Stan'
-
- rec: r-cran-testthat
- GNU R testsuite
-
- sug: r-cran-afex
- GNU R package for analyzing factorial experiments using ANOVA or mixed models
-
- sug: r-cran-brms
- GNU R Bayesian regression models using 'Stan'
-
- sug: r-cran-car
- GNU R Companion to Applied Regression by John Fox
-
- sug: r-cran-dplyr
- GNU R grammar of data manipulation
-
- sug: r-cran-forecast
- GNU R forecasting functions for time series and linear models
-
- sug: r-cran-gamm4
- GNU R generalized additive mixed models using 'mgcv' and 'lme4'
-
- sug: r-cran-ggplot2
- implementation of the Grammar of Graphics
-
- sug: r-cran-lavaan
- GNU R package for latent variable analysis -- lavaan
-
- sug: r-cran-lmtest
- GNU R package for diagnostic checking in linear models
-
- sug: r-cran-loo
- GNU R leave-one-out cross-validation and WAIC for Bayesian models
-
- sug: r-cran-magrittr
- GNU R forward-pipe operator
-
- sug: r-cran-matrix
- GNU R package of classes for dense and sparse matrices
-
- sug: r-cran-mclust
- Gaussian Mixture Modelling for Model-Based Clustering
-
- sug: r-cran-mgcv
- GNU R package for multiple parameter smoothing estimation
-
- sug: r-cran-nlme
- GNU R package for (non-)linear mixed effects models
-
- sug: r-cran-parameters
- GNU R processing of model parameters
-
- sug: r-cran-patchwork
- GNU R the composer of plots
-
- sug: r-cran-psych
- GNU R procedures for psychological, psychometric, and personality research
-
- sug: r-cran-randomforest
- GNU R package implementing the random forest classificator
-
- sug: r-cran-rmarkdown
- convert R markdown documents into a variety of formats
-
- sug: r-cran-rstanarm
- GNU R bayesian applied regression modeling via stan
-
- sug: r-cran-sandwich
- GNU R package for model-robust standard error estimates
-
- sug: r-cran-spelling
- tools for spell checking in GNU R
-
- sug: r-cran-survey
- GNU R analysis of complex survey samples
-
- sug: r-cran-survival
- GNU R package for survival analysis
-
- sug: r-cran-vgam
- GNU R package for estimating vector generalized additive models