R/ProjectManagement.R

In ProjectManagement: Management of Deterministic and Stochastic Projects

##' Management of Deterministic and Stochastic Projects
##'
##' Management problems of deterministic and stochastic projects. It obtains the duration of a project and the appropriate slack for each activity in a deterministic context.
##' In addition it obtains a schedule of activities' time (Castro, Gómez & Tejada (2007) <doi:10.1016/j.orl.2007.01.003>). It also allows the management of resources.
##' When the project is done, and the actual duration for each activity is known, then it can know how long the project is delayed and make a fair delivery of the delay between each activity (Bergantiños, Valencia-Toledo & Vidal-Puga (2018) <doi:10.1016/j.dam.2017.08.012>).
##' In a stochastic context it can estimate the average duration of the project and plot the density of this duration, as well as, the density of the early and last times of the chosen activities.
##' As in the deterministic case, it can make a distribution of the delay generated by observing the project already carried out.
##'
##' @name ProjectManagement-package
##'
##' @aliases ProjectManagement
##'
##' @docType package
##'
##' @title Management of Deterministic and Stochastic Projects
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##' @import plotly
##' @import lpSolveAPI
##'
##' @importFrom graphics hist legend lines plot points segments axis
##' @importFrom stats density dnorm ecdf quantile rexp rnorm runif sd rbeta rbinom rchisq rf rgamma rgeom rhyper rpois rt rweibull
##' @importFrom utils combn
##' @importFrom triangle rtriangle
##' @importFrom kappalab set.func Shapley.value normalize
##' @importFrom igraph graph_from_adjacency_matrix layout.kamada.kawai
##'
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