Author: Gergely Daróczi <daroczig@rapporter.net>, Roman Tsegelskyi
Suggests: grid, lattice, ggplot2 (>= 0.9.2), koRpus, survival,
microbenchmark, zoo, nlme, descr, MASS, knitr

resulting) complex Pandoc documents to e.g. HTML, PDF, docx or odt. This

in pandoc's markdown or several type of R objects similarly automatically
resulting) complex pandoc documents to e.g. HTML, PDF, docx or odt. This
microbenchmark, zoo, nlme, descr, MASS, knitr, tables

Imports: grDevices, graphics, methods, utils, stats, digest, tools,
Suggests: grid, lattice, ggplot2 (>= 0.9.2), koRpus, futile.logger,
survival, microbenchmark, zoo, nlme, descr, MASS, knitr,
tables, reshape, memisc, Epi, randomForest, tseries, gtable,

Description: Contains some functions catching all messages, 'stdout' and other
in 'pandoc' markdown or several type of R objects similarly automatically
resulting) complex 'pandoc' documents to e.g. HTML, 'PDF', 'docx' or 'odt'. This
reference class with a smarty caching 'backend'.
rmarkdown, tables, reshape, memisc, Epi, randomForest, tseries,

latter reporting feature is supported in brew syntax or with a custom reference

person("Roman", "Tsegelskyi", , "roman.tsegelskyi@gmail.com", role = c("aut")))
Suggests: grid, lattice, ggplot2 (>= 0.9.2), sylly, sylly.en,
futile.logger, survival, microbenchmark, zoo, nlme, descr,
MASS, knitr, rmarkdown, tables, reshape, memisc, Epi,
randomForest, tseries, gtable, rms, forecast, data.table

Suggests: grid, lattice, ggplot2 (>= 0.9.2), sylly, sylly.en, logger,

Title: Manage and Run Universal Converter 'Pandoc' from 'R'
Description: Provides a set of tools to install, manage and run several
Suggests: covr, gh, rmarkdown (>= 2.14), testthat (>= 3.0.0), tibble,
Config/Needs/website: tidyverse/tidytemplate, dplyr, tidyr, purrr

Description: The document converter 'pandoc' <http://pandoc.org/> is widely used
in the R community. One feature of 'pandoc' is that it can produce and consume
JSON-formatted abstract syntax trees (AST). This allows to transform a given
source document into JSON-formatted AST, alter it by so called filters and pass
the altered JSON-formatted AST back to 'pandoc'. This package provides functions
which allow to write such filters in native R code.
Although this package is inspired by the Python package 'pandocfilters'
<https://github.com/jgm/pandocfilters/>, it provides additional convenience functions which make it simple to use the 'pandocfilters' package as a
report generator. Since 'pandocfilters' inherits most of it's functionality
from 'pandoc' it can create documents in many formats
(for more information see <http://pandoc.org/>) but is also bound to the same