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stencila

stencilaschema:Bindings for Stencila Schema

Provides R bindings for the Stencila Schema <https://schema.stenci.la>. This package is primarily aimed at R developers wanting to programmatically generate, or modify, executable documents.

Maintained by Nokome Bentley. Last updated 3 years ago.

json-schemapythonrustschema-orgsemantictypescriptvocabulary

17 stars 4.93 score 2 scripts

schweflo

pandocfilters:Pandoc Filters for R

The document converter 'pandoc' <https://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 <https://pandoc.org/>) but is also bound to the same limitations as 'pandoc'.

Maintained by Florian Schwendinger. Last updated 3 years ago.

2.80 score 63 scripts

cran

ncar:Noncompartmental Analysis for Pharmacokinetic Report

Conduct a noncompartmental analysis with industrial strength. Some features are 1) CDISC SDTM terms 2) Automatic or manual slope selection 3) Supporting both 'linear-up linear-down' and 'linear-up log-down' method 4) Interval(partial) AUCs with 'linear' or 'log' interpolation method 5) Produce pdf, rtf, text report files. * Reference: Gabrielsson J, Weiner D. Pharmacokinetic and Pharmacodynamic Data Analysis - Concepts and Applications. 5th ed. 2016. (ISBN:9198299107).

Maintained by Kyun-Seop Bae. Last updated 1 years ago.

1 stars 1.00 score

cran

pkr:Pharmacokinetics in R

Conduct a noncompartmental analysis as closely as possible to the most widely used commercial software. Some features are 1) CDISC SDTM terms 2) Automatic slope selection with the same criterion of WinNonlin(R) 3) Supporting both 'linear-up linear-down' and 'linear-up log-down' method 4) Interval(partial) AUCs with 'linear' or 'log' interpolation method * Reference: Gabrielsson J, Weiner D. Pharmacokinetic and Pharmacodynamic Data Analysis - Concepts and Applications. 5th ed. 2016. (ISBN:9198299107).

Maintained by Kyun-Seop Bae. Last updated 3 years ago.

1.00 score

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