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.zip(r-4.7-any)handwriterApp_2.0.0.zip(r-4.6-any)
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✨
DESCRIPTION |NEWS
card.svg |card.png
handwriterApp/json (API)

# 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
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

Conda:

jagscpp

1.74 score 11 scripts 471 downloads 3 exports 87 dependencies

Last updated from:cc804228de. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-develOK170
source / vignettesOK200
linux-releaseOK125
windows-develOK70
windows-releaseOK92
wasm-releaseOK122

Exports:%>%handwriterAppplot_writer_profiles

Dependencies:base64encbslibcachemclicodacodetoolscommonmarkcpp11curldigestdoParalleldplyrevaluatefarverfastmapfontawesomeforeachfsgenericsggplot2gluegtablehandwriterhandwriterRFhighrhtmltoolshttpuvigraphisobanditeratorsjquerylibjsonliteknitrlabelinglaterlatticelifecyclelpSolvemagickmagrittrMatrixmc2dmemoisemimemvtnormotelpillarpkgconfigplyrpngpromisespurrrR6rangerrappdirsRColorBrewerRcppRcppArmadilloRcppEigenRcppParallelreshape2RfastrjagsrlangrmarkdownS7sassscalesshinyshinycssloadersshinyFilesshinyjssourcetoolsstringistringrtibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunxtableyamlzigg