This package is considered a duplicate. The official version of this package is found at:https://csafe-isu.r-universe.dev/handwriterApp

Package: handwriterApp 2.0.0

Stephanie Reinders

handwriterApp: A 'shiny' Application for Handwriting Analysis

Perform statistical writership analysis of scanned handwritten documents with a 'shiny' app for 'handwriter'.

Authors:Iowa State University of Science and Technology on behalf of its Center for Statistics and Applications in Forensic Evidence [aut, cph, fnd], Stephanie Reinders [aut, cre]

handwriterApp_2.0.0.tar.gz
handwriterApp_2.0.0.tar.gz(r-4.7-any)handwriterApp_2.0.0.tar.gz(r-4.6-any)
handwriterApp_2.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
handwriterApp/json (API)
NEWS

# Install 'handwriterApp' in R:

install.packages('handwriterApp', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/csafe-isu/handwriterapp/issues

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

Datasets: