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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, TransProR, treeio, UCSCXenaTools, VCA, VFP, vissE, vistime, wgaim, ymlthis

Linking:

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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.
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