Package: miscF 0.1-5

miscF: Miscellaneous Functions

Various functions for random number generation, density estimation, classification, curve fitting, and spatial data analysis.

Authors:Dai Feng

miscF_0.1-5.tar.gz
miscF_0.1-5.zip(r-4.7)miscF_0.1-5.zip(r-4.6)miscF_0.1-5.zip(r-4.5)
miscF_0.1-5.tgz(r-4.6-x86_64)miscF_0.1-5.tgz(r-4.6-arm64)miscF_0.1-5.tgz(r-4.5-x86_64)miscF_0.1-5.tgz(r-4.5-arm64)
miscF_0.1-5.tar.gz(r-4.7-arm64)miscF_0.1-5.tar.gz(r-4.7-x86_64)miscF_0.1-5.tar.gz(r-4.6-arm64)miscF_0.1-5.tar.gz(r-4.6-x86_64)
miscF_0.1-5.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
miscF/json (API)

# Install 'miscF' in R:
install.packages('miscF', repos = c('https://daifengstat.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • jags– Just Another Gibbs Sampler for Bayesian MCMC - binary JAGS is Just Another Gibbs Sampler. It is a program for analysis of Bayesian hierarchical models using Markov Chain Monte Carlo (MCMC) simulation not wholly unlike BUGS. JAGS was written with three aims in mind: * To have an engine for the BUGS language that runs on Unix * To be extensible, allowing users to write their own functions, distributions and samplers. * To be a plaftorm for experimentation with ideas in Bayesian modelling This package contains the 'jags' binary as well as the associated shared library modules loaded by the binary.
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

jagscpp

2.26 score 2 packages 15 scripts 249 downloads 2 mentions 12 exports 24 dependencies

Last updated from:668d9bd3b0. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK138
linux-devel-x86_64OK144
source / vignettesOK180
linux-release-arm64OK137
linux-release-x86_64OK151
macos-release-arm64OK202
macos-release-x86_64OK269
macos-oldrel-arm64OK135
macos-oldrel-x86_64OK295
windows-develOK104
windows-releaseOK123
windows-oldrelOK117
wasm-releaseOK119

Exports:curve.polynomial.rjmcmcmvn.bayesmvn.ubmvsn.mcmcmvst.mcmcmvt.ecmemvt.mcmcrMultinomrmvsnrmvstspatial.lme.mcmcuvnm.rjmcmc

Dependencies:abindbootclicodagluelatticelifecyclemagrittrMASSMatrixMatrixModelsmcmcMCMCpackmvtnormquantregR2jagsR2WinBUGSrjagsrlangSparseMstringistringrsurvivalvctrs