Paket: r-cran-brms (2.14.4-1)

[ Kaynak: r-cran-brms  ]

GNU R Bayesian regression models using 'Stan'

Fit Bayesian generalized (non-)linear multivariate multilevel models using 'Stan' for full Bayesian inference. A wide range of distributions and link functions are supported, allowing users to fit -- among others

 -- linear, robust linear, count data, survival, response times, ordinal,

zero-inflated, hurdle, and even self-defined mixture models all in a multilevel context. Further modeling options include non-linear and smooth terms, auto-correlation structures, censored data, meta-analytic standard errors, and quite a few more. In addition, all parameters of the response distribution can be predicted in order to perform distributional regression. Prior specifications are flexible and explicitly encourage users to apply prior distributions that actually reflect their beliefs. Model fit can easily be assessed and compared with posterior predictive checks and leave-one-out cross-validation.

r-cran-brms ile İlgili Diğer Paketler

• dep: r-api-4.0

  sanal paketi sağlayan r-base-core

• dep: r-base-core (>= 4.0.3-1)

  GNU R core of statistical computation and graphics system

• dep: r-cran-abind

  GNU R abind multi-dimensional array combination function

• dep: r-cran-backports

  reimplementation of functions introduced since R-3.0.0

• dep: r-cran-bayesplot (>= 1.5.0)

  GNU R plotting for bayesian models

• dep: r-cran-bridgesampling (>= 0.3-0)

  GNU R bridge sampling for marginal likelihoods and Bayes factors

• dep: r-cran-coda

  Output analysis and diagnostics for MCMC simulations in R

• dep: r-cran-future

  R package: A Future API for R

• dep: r-cran-ggplot2 (>= 2.0.0)

  implementation of the Grammar of Graphics

• dep: r-cran-glue (>= 1.3.0)

  GNU R interpreted string literals

• dep: r-cran-loo (>= 2.3.1)

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

• dep: r-cran-matrix (>= 1.1.1)

  GNU R package of classes for dense and sparse matrices

• dep: r-cran-matrixstats

  GNU R methods that apply to rows and columns of a matrix

• dep: r-cran-mgcv (>= 1.8-13)

  GNU R package for multiple parameter smoothing estimation

• dep: r-cran-nleqslv

  GNU R package for solving systems of nonlinear equations

• dep: r-cran-nlme

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

• dep: r-cran-projpred (>= 2.0.0)

  GNU R projection predictive feature selection

• dep: r-cran-rcpp (>= 0.12.0)

  GNU R package for Seamless R and C++ Integration

• dep: r-cran-rstan (>= 2.19.2)

  GNU R interface to Stan

• dep: r-cran-rstantools (>= 2.1.1)

  tools for developing GNU R packages interfacing with 'Stan'

• dep: r-cran-shinystan (>= 2.4.0)

  GNU R interactive diagnostics and analysis for Bayesian models

• rec: r-cran-emmeans (>= 1.4.2)

  GNU R estimated marginal means, aka least-squares means

• rec: r-cran-mnormt

  GNU R package providing multivariate normal and t distribution

• rec: r-cran-rtdists

  GNU R response time distributions

• rec: r-cran-rwiener

  GNU R Wiener process distribution functions

• rec: r-cran-spdep

  GNU R spatial dependence: weighting schemes, statistics and models

• rec: r-cran-splines2

  GNU R regression spline functions and classes

• rec: r-cran-testthat (>= 0.9.1)

  GNU R testsuite

• sug: r-cran-ape

  GNU R package for Analyses of Phylogenetics and Evolution

• sug: r-cran-arm

  Data Analysis Using Regression and Multilevel/Hierarchical Models

• sug: r-cran-digest

  GNU R package for 'hash digest' of R data structures

• sug: r-cran-knitr

  GNU R package for dynamic report generation using Literate Programming

• sug: r-cran-lme4

  GNU R package for linear mixed effects model fitting

• sug: r-cran-mice

  GNU R multivariate imputation by chained equations

• sug: r-cran-rmarkdown

  convert R markdown documents into a variety of formats

• sug: r-cran-statmod

  GNU R package providing algorithms and functions for statistical modeling

r-cran-brms indir

Tüm mevcut mimariler için indir

Mimari	Paket Boyutu	Kurulu Boyut	Dosyalar
all	5.528,7 kB	6.911,0 kB	[dosya listesi]