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Paket: r-cran-brms (2.12.0-1)

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

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  • dep: r-api-3.5
    sanal paketi sağlayan r-base-core
  • dep: r-base-core (>= 3.6.2.20200221-1)
    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 (>= 2.2.0)
    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-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 (>= 1.5.1)
    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-mnormt
    GNU R package providing multivariate normal and t distribution
  • 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

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