{"Package":"RMCriteria","Type":"Package","Title":"Multicriteria Package","Version":"0.2.0","Author":"Pedro Albuquerque and Gustavo Monteiro","BugReports":"https://github.com/lamfo-unb/RMCriteria","Maintainer":"Pedro Albuquerque ","Description":"Provides a methodology to solve most of multicriteria ranking problems using partial and total pre-order from Promethee methods. Albuquerque & Montenegro (2015) .","Depends":"R (>= 3.1.0)","License":"GPL-2","LazyData":"TRUE","LinkingTo":"Rcpp, RcppEigen, RcppNumerical","Imports":"Rcpp, RcppNumerical, linprog, lpSolve, ggplot2, gridExtra,\nggnetwork, network, pastecs, methods, graphics, stats, utils,\ndplyr","SystemRequirements":"GNU make","RoxygenNote":"6.0.1","NeedsCompilation":"yes","Packaged":"2019-01-17 15:20:21 UTC; Pedro Albuquerque","Repository":"CRAN","Date/Publication":"2019-01-17 15:50:25 UTC","repoType":"cran","tarballUrl":"ftp://cran.r-project.org/pub/R/src/contrib/RMCriteria_0.2.0.tar.gz","readme":"# RMCriteria\n\n## Overview\n\n`RMCriteria` is a package to solve Multiple-Criteria Decision Analysis (MCDA) problems. For now, it only supports Promethee methods, but other methods may be developed in the future.\n\n## Installation\n\nCurrently, the easiest way to install `RMCriteria` is through `devtools` package, straight from GitHub:\n```R\n# install.packages(\"devtools\")\ndevtools::install_github(\"lamfo-unb/RMCriteria\")\n```\n\n## Usage\n\nUsing `RMCriteria` is quite simple. The general idea is to create a `RPrometheeArguments` object, with all parameters such as the criterias and alternatives and then applying this object to the chosen method, like `RPrometheeI`.\n\n```R\n## Create objects for each argument\ndata <-matrix(c(5.2,-3.5,\n 4.3,-1.2,\n 6.7,-2.0), byrow = T, ncol=2, nrow=3)\n\nparms <- matrix(c(NA,\n NA),byrow=TRUE,ncol=1,nrow=2)\n\nvecWeights <- c(0.3,0.7)\nvecMaximiz <- c(F,T)\nprefFunction <- c(0,0)\nnormalize <- FALSE\nalternatives <- c(\"Alt 1\", \"Alt 2\", \"Alt 3\")\n\n## Create RPrometheeArguments object\nPromObj <- RPrometheeConstructor(datMat = data, vecWeights = vecWeights, vecMaximiz = vecMaximiz, prefFunction = prefFunction, parms = parms, normalize = normalize, alternatives = alternatives)\n\n# Run RPrometheeI\n(result <- RPrometheeI(PromObj))\n```\n\n## More Information\n\n`RMCriteria` was developed in the [Laboratory of Machine Learning in Finance and Organizations (LAMFO)](https://lamfo-unb.github.io/) from University of Brasilia, in Brazil. LAMFO is a center devoted to research machine learning methods and related subjects applied to organizations in Marketing, Finance, Logistics and many others.","jobInfo":{"package":"RMCriteria","version":"0.2.0","parsingStatus":"success","parserVersion":1,"parsedAt":"2019-01-17T17:30:20+0000"}}

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