Пакунок: r-cran-brms (2.20.4-1)

[ Source: 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.

Інші пакунки пов'язані з r-cran-brms

• dep: r-api-4.0

  virtual package provided by r-base-core

• 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 (>= 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-rlang (>= 1.0.0)

  Functions for Base Types and Core R and 'Tidyverse' Features

• dep: r-cran-rstan (>= 2.26.0)

  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-ape

  GNU R package for Analyses of Phylogenetics and Evolution

• rec: r-cran-arm

  Data Analysis Using Regression and Multilevel/Hierarchical Models

• rec: r-cran-diffobj

  diffs for GNU R objects

• rec: r-cran-digest

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

• rec: r-cran-emmeans (>= 1.4.2)

  GNU R estimated marginal means, aka least-squares means

• rec: r-cran-extradistr

  additional univariate and multivariate distributions for GNU R

• rec: r-cran-gtable

  Arrange grobs in tables

• rec: r-cran-knitr

  GNU R package for dynamic report generation using Literate Programming

• rec: r-cran-lme4

  GNU R package for linear mixed effects model fitting

• rec: r-cran-mice

  GNU R multivariate imputation by chained equations

• rec: r-cran-mnormt

  GNU R package providing multivariate normal and t distribution

• rec: r-cran-processx

  GNU R execute and control system processes

• rec: r-cran-projpred (>= 2.0.0)

  GNU R projection predictive feature selection

• rec: r-cran-r.rsp

  Dynamic Generation of Scientific Reports

• rec: r-cran-rmarkdown

  convert R markdown documents into a variety of formats

• rec: r-cran-rtdists

  GNU R response time distributions

• rec: r-cran-rwiener

  GNU R Wiener process distribution functions

• rec: r-cran-shiny

  GNU R web application framework

• 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-statmod

  GNU R package providing algorithms and functions for statistical modeling

• rec: r-cran-testthat (>= 0.9.1)

  GNU R testsuite

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