[ 原始碼： r-cran-brms ]
套件：r-cran-brms（2.14.4-1）
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.
其他與 r-cran-brms 有關的套件
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- dep: r-api-4.0
- 本虛擬套件由這些套件填實： r-base-core
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- dep: r-base-core (>= 4.0.3-1)
- GNU R core of statistical computation and graphics system
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- dep: r-cran-abind
- GNU R abind multi-dimensional array combination function
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- dep: r-cran-backports
- reimplementation of functions introduced since R-3.0.0
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- dep: r-cran-bayesplot (>= 1.5.0)
- GNU R plotting for bayesian models
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- dep: r-cran-bridgesampling (>= 0.3-0)
- GNU R bridge sampling for marginal likelihoods and Bayes factors
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- dep: r-cran-coda
- Output analysis and diagnostics for MCMC simulations in R
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- dep: r-cran-future
- R package: A Future API for R
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- dep: r-cran-ggplot2 (>= 2.0.0)
- implementation of the Grammar of Graphics
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- dep: r-cran-glue (>= 1.3.0)
- GNU R interpreted string literals
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- dep: r-cran-loo (>= 2.3.1)
- GNU R leave-one-out cross-validation and WAIC for Bayesian models
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- dep: r-cran-matrix (>= 1.1.1)
- GNU R package of classes for dense and sparse matrices
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- dep: r-cran-matrixstats
- GNU R methods that apply to rows and columns of a matrix
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- dep: r-cran-mgcv (>= 1.8-13)
- GNU R package for multiple parameter smoothing estimation
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- dep: r-cran-nleqslv
- GNU R package for solving systems of nonlinear equations
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- dep: r-cran-nlme
- GNU R package for (non-)linear mixed effects models
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- dep: r-cran-projpred (>= 2.0.0)
- GNU R projection predictive feature selection
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- dep: r-cran-rcpp (>= 0.12.0)
- GNU R package for Seamless R and C++ Integration
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- dep: r-cran-rstan (>= 2.19.2)
- GNU R interface to Stan
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- dep: r-cran-rstantools (>= 2.1.1)
- tools for developing GNU R packages interfacing with 'Stan'
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- dep: r-cran-shinystan (>= 2.4.0)
- GNU R interactive diagnostics and analysis for Bayesian models
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- rec: r-cran-emmeans (>= 1.4.2)
- GNU R estimated marginal means, aka least-squares means
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- rec: r-cran-mnormt
- GNU R package providing multivariate normal and t distribution
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- rec: r-cran-rtdists
- GNU R response time distributions
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- rec: r-cran-rwiener
- GNU R Wiener process distribution functions
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- rec: r-cran-spdep
- GNU R spatial dependence: weighting schemes, statistics and models
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- rec: r-cran-splines2
- GNU R regression spline functions and classes
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- rec: r-cran-testthat (>= 0.9.1)
- GNU R testsuite
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- sug: r-cran-ape
- GNU R package for Analyses of Phylogenetics and Evolution
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- sug: r-cran-arm
- Data Analysis Using Regression and Multilevel/Hierarchical Models
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- sug: r-cran-digest
- GNU R package for 'hash digest' of R data structures
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- sug: r-cran-knitr
- GNU R package for dynamic report generation using Literate Programming
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- sug: r-cran-lme4
- GNU R package for linear mixed effects model fitting
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- sug: r-cran-mice
- GNU R multivariate imputation by chained equations
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- sug: r-cran-rmarkdown
- convert R markdown documents into a variety of formats
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- sug: r-cran-statmod
- GNU R package providing algorithms and functions for statistical modeling