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
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:	CBDA, ChAMP, chronicle, CytoTree, geneticae, MACSQuantifyR, sdcMicro, tscR
Reverse suggests:	bioCancer, BIOMASS, bootPLS, BoSSA, clustermole, clusterProfiler, configr, contribution, CornerstoneR, corrplot, cSEM, detectRUNS, DisImpact, dlookr, dlstats, DOSE, doseminer, dyn.log, emojifont, emtdata, enrichplot, ERP, ezcox, fitHeavyTail, funtooNorm, gamclass, GAPGOM, ggbreak, ggfun, ggplotify, ggrepel, ggstar, ggTimeSeries, ggtree, ggtreeExtra, GOSemSim, gprofiler2, graphsim, GWENA, ICDS, imputeFin, insee, IRexamples, markerpen, meme, meshes, metaboData, mi4p, MicrobiotaProcess, MMINP, motifcounter, msigdb, nCov2019, nlpred, phangorn, plotbb, plsRbeta, portfolioBacktest, PP, qra, RcppNumerical, ReactomePA, recosystem, rfishdraw, riskParityPortfolio, roperators, RSpectra, rwebstat, sageR, scatterpie, scholar, sentiment.ai, seqcombo, seqmagick, shadowtext, showtext, sim1000G, sparseIndexTracking, spectralGraphTopology, sptotal, StratifiedSampling, SuperLearner, SynMut, tcpl, tidydr, tidytree, tmt, treeio, UCSCXenaTools, VCA, VFP, vissE, vistime, wgaim, ymlthis

Linking:

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