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prettydoc: Creating Pretty Documents from R Markdown

Creating tiny yet beautiful documents and vignettes from R Markdown. The package provides the 'html_pretty' output format as an alternative to the 'html_document' and 'html_vignette' engines that convert R Markdown into HTML pages. Various themes and syntax highlight styles are supported.

Version: 0.4.1
Imports: rmarkdown (≥ 1.17)
Suggests: knitr, KernSmooth
Published: 2021-01-10
DOI: 10.32614/CRAN.package.prettydoc
Author: Yixuan Qiu [aut, cre], Jason Long [ctb] (the Cayman, Tactile and Architect themes), Renyuan Zou [ctb] (the Leonids theme), Michael Rose [ctb] (the HPSTR theme), JJ Allaire [ctb] (pandoc template for rmarkdown), Hadley Wickham [ctb] (the html_vignette() function), Yihui Xie [ctb] (the html_vignette() function), Steve Matteson [ctb] (the Open Sans fonts), Emily Eisenberg [ctb] (the KaTeX library), Sophie Alpert [ctb] (the KaTeX library)
prettydoc author details
Maintainer: Yixuan Qiu <yixuan.qiu at cos.name>
BugReports: https://github.com/yixuan/prettydoc/issues
License: Apache License (≥ 2.0)
URL: https://github.com/yixuan/prettydoc
NeedsCompilation: no
SystemRequirements: pandoc (>= 1.12.3)
Materials: README NEWS
CRAN checks: prettydoc results

Documentation:

Reference manual: prettydoc.pdf
Vignettes: Creating Pretty Documents from R Markdown - The Architect Theme
Creating Pretty Documents from R Markdown - The Cayman Theme
Creating Pretty Documents from R Markdown - The HPSTR Theme
Creating Pretty Documents from R Markdown - The Leonids Theme
Creating Pretty Documents from R Markdown - The Tactile Theme

Downloads:

Package source: prettydoc_0.4.1.tar.gz
Windows binaries: r-devel: prettydoc_0.4.1.zip, r-release: prettydoc_0.4.1.zip, r-oldrel: prettydoc_0.4.1.zip
macOS binaries: r-release (arm64): prettydoc_0.4.1.tgz, r-oldrel (arm64): prettydoc_0.4.1.tgz, r-release (x86_64): prettydoc_0.4.1.tgz, r-oldrel (x86_64): prettydoc_0.4.1.tgz
Old sources: prettydoc archive

Reverse dependencies:

Reverse depends: basecallQC
Reverse imports: ChAMP, chronicle, geneticae, ggsector, MACSQuantifyR, sdcMicro
Reverse suggests: AquaBEHER, BeeBDC, bioCancer, BIOMASS, bootPLS, BoSSA, ccdR, ChIPseeker, clugenr, clusterProfiler, configr, contribution, CornerstoneR, corrplot, cSEM, ctxR, detectRUNS, df2yaml, DiffCorr, DisImpact, dlookr, dlstats, DOSE, doseminer, dyn.log, emojifont, emtdata, enrichplot, erah, ERP, esATAC, ezcox, funtooNorm, gamclass, GDCRNATools, getspanel, ggbreak, ggfun, ggpie, ggplotify, ggrepel, ggsc, ggstar, ggtangle, ggTimeSeries, ggtree, ggtreeDendro, ggtreeExtra, ggtreeSpace, GOSemSim, gprofiler2, graphsim, GWENA, imputeFin, insee, IRexamples, markerpen, meme, meshes, metaboData, MetaNet, metevalue, MicrobiomeProfiler, MicrobiotaProcess, MMINP, motifcounter, msigdb, nlpred, odetector, pctax, plotbb, plsRbeta, portfolioBacktest, PP, qra, QurvE, RcppNumerical, ReactomePA, recosystem, rfishdraw, RGCxGC, riskParityPortfolio, roperators, RSpectra, rwebstat, sageR, scatterpie, scCATCH, sccomp, scholar, scriptloc, sentiment.ai, seqcombo, seqmagick, shadowtext, shinyTempSignal, showtext, sim1000G, SpaNorm, sparseIndexTracking, spectralGraphTopology, sptotal, SubcellularSpatialData, SuperLearner, svrep, SynMut, tcpl, tcplfit2, tidydr, tidytree, tmt, treeio, UCSCXenaTools, VCA, VFP, vissE, vistime, wgaim, ymlthis

Linking:

Please use the canonical form https://CRAN.R-project.org/package=prettydoc to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.