[ 源代码: r-cran-shinystan ]
软件包:r-cran-shinystan(2.5.0-4)
r-cran-shinystan 的相关链接
Debian 的资源:
下载源码包 r-cran-shinystan:
- [r-cran-shinystan_2.5.0-4.dsc]
- [r-cran-shinystan_2.5.0.orig.tar.gz]
- [r-cran-shinystan_2.5.0-4.debian.tar.xz]
维护小组:
外部的资源:
- 主页 [cran.r-project.org]
相似软件包:
GNU R interactive diagnostics and analysis for Bayesian models
A graphical user interface for interactive Markov chain Monte Carlo (MCMC) diagnostics and plots and tables helpful for analyzing a posterior sample. The interface is powered by the 'Shiny' web application framework from 'RStudio' and works with the output of MCMC programs written in any programming language (and has extended functionality for 'Stan' models fit using the 'rstan' and 'rstanarm' packages).
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- dep: r-api-4.0
- 本虚包由这些包填实: 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-bayesplot (>= 1.5.0)
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- dep: r-cran-dt (>= 0.2)
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- dep: r-cran-dygraphs (>= 1.1.1.2)
- GNU R interface to 'Dygraphs' interactive time series charting library
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- dep: r-cran-ggplot2 (>= 2.1.1)
- implementation of the Grammar of Graphics
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- dep: r-cran-gridextra
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- dep: r-cran-gtools
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- dep: r-cran-markdown (>= 0.7.4)
- GNU R package providing R bindings to the Sundown Markdown rendering library
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- dep: r-cran-reshape2
- Flexibly reshape data: a reboot of the reshape package
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- dep: r-cran-rsconnect (>= 0.4.2)
- GNU R deployment interface for markdown and Shiny applications
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- dep: r-cran-rstan (>= 2.17.1)
- GNU R interface to Stan
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- dep: r-cran-shiny (>= 1.0.3)
- GNU R web application framework
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- dep: r-cran-shinyjs (>= 0.6.0)
- Easily Improve the User Experience of Your Shiny Apps in Seconds
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- dep: r-cran-shinythemes (>= 1.0.1)
- Themes for Shiny
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- dep: r-cran-threejs (>= 0.2.1)
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- dep: r-cran-xtable
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- dep: r-cran-xts (>= 0.9-7)
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- rec: r-cran-coda
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- rec: r-cran-codetools
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- rec: r-cran-testthat
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- sug: r-cran-knitr (>= 1.9)
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- sug: r-cran-rmarkdown (>= 0.8.1)
- convert R markdown documents into a variety of formats
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- sug: r-cran-rstanarm (>= 2.17.4)
- GNU R bayesian applied regression modeling via stan