Title: Model and Solve Mixed Integer Linear Programs
Authors@R: person("Dirk", "Schumacher", email = "mail@dirk-schumacher.net",
Description: Model mixed integer linear programs in an algebraic way directly in R.
The model is solver-independent and thus offers the possibility
to solve a model with different solvers. It currently only supports
linear constraints and objective functions. See the 'ompr'
website <https://dirkschumacher.github.io/ompr> for more information,
Packaged: 2017-04-17 13:59:07 UTC; dirkschumacher

Imports: dplyr, lazyeval, progress, Rcpp (>= 0.12.12), Matrix
Packaged: 2017-11-17 17:34:33 UTC; dirkschumacher

Imports: lazyeval, progress, rlang (>= 0.2.0), methods, data.table,
Packaged: 2018-06-11 18:32:06 UTC; dirkschumacher

website <https://dirkschumacher.github.io/ompr/> for more information,
Packaged: 2020-12-04 11:01:09 UTC; dirkschumacher

Imports: lazyeval, rlang (>= 0.2.0), listcomp (>= 0.4.0), methods,

Title: A Solver for 'ompr' that Uses the R Optimization Infrastructure
Description: A solver for 'ompr' based on the R Optimization Infrastructure ('ROI').
The package makes all solvers in 'ROI' available to solve 'ompr' models. Please see the
'ompr' website <https://dirkschumacher.github.io/ompr> and package docs for more information
Packaged: 2017-04-19 06:04:56 UTC; dirkschumacher

Packaged: 2017-10-23 18:06:36 UTC; dirkschumacher

Imports: ROI (>= 0.3.0), slam, methods, Matrix, ompr (>= 0.7.0)
Packaged: 2017-11-18 09:36:42 UTC; dirkschumacher

Imports: ROI (>= 0.3.0), slam, methods, Matrix, ompr (>= 0.8.0)
Packaged: 2018-06-11 19:35:10 UTC; dirkschumacher

'ompr' website <https://dirkschumacher.github.io/ompr/> and package docs for more information
Imports: ROI (>= 0.3.0), slam, methods, Matrix, ompr (>= 1.0.0)

Imports: ROI (>= 0.3.0), slam, methods, Matrix, ompr (>= 1.0.1)

Title: Build and Transform 'SVG' Objects
Description: Build 'SVG' components using element-based functions. With
an 'svg' object, we can modify its graphical elements with a suite of

Title: A Metabolomics Analysis Tool for Intuitive Figures and
Authors@R: person("Connor", "Tiffany", email = "crtiffany@ucdavis.edu", role = c("aut", "cre"))
Description: Facilitates the creation of intuitive figures to describe metabolomics data by utilizing Kyoto Encyclopedia of Genes and Genomes (KEGG) hierarchy data, and gathers functional orthology and gene data using the package 'KEGGREST' to access the 'KEGG' API.
Imports: plyr, dplyr, stringr, KEGGREST, reshape2, ggfortify, ggplot2,