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Pakket: r-cran-brms (2.16.3-1)

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.

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  • dep: r-api-4.0
    virtueel pakket geboden door r-base-core
  • dep: r-base-core (>= 4.1.2-1ubuntu1)
    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
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    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 (>= 1.19.0)
    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-posterior (>= 1.0.0)
    GNU R tools for working with posterior distributions
  • 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-diffobj
    diffs for GNU R objects
  • sug: r-cran-digest
    GNU R package for 'hash digest' of R data structures
  • sug: r-cran-gtable
    Arrange grobs in tables
  • 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-projpred (>= 2.0.0)
    GNU R projection predictive feature selection
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    convert R markdown documents into a variety of formats
  • sug: r-cran-shiny
    GNU R web application framework
  • sug: r-cran-statmod
    GNU R package providing algorithms and functions for statistical modeling

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