Пакет: r-cran-brms (2.20.4-1)

Връзки за r-cran-brms

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Начална страница [cran.r-project.org]

Подобни пакети:

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.

Други пакети, свързани с r-cran-brms

зависимости

препоръчани

предложени

enhances

dep: r-api-4.0

виртуален пакет, предлаган от 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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Архитектура	Големина на пакета	Големина след инсталиране	Файлове
all	6 026,1 кБ	7 976,0 кБ	[списък на файловете]