Package: CPP 0.1.0

CPP: Composition of Probabilistic Preferences (CPP)

CPP is a multiple criteria decision method to evaluate alternatives on complex decision making problems, by a probabilistic approach. The CPP was created and expanded by Sant'Anna, Annibal P. (2015) <doi:10.1007/978-3-319-11277-0>.

Authors:Luiz O. Gavião, Annibal P. Sant'Anna, Gilson B.A. Lima and Pauli A.A. Garcia.

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CPP.pdf |CPP.html✨
CPP/json (API)

# Install 'CPP' in R:
install.packages('CPP', repos = c('https://gaviao67.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

21 exports 1.45 score 74 dependencies 5 mentions 30 scripts 170 downloads

Last updated 6 years agofrom:7dfaaadd4f. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 06 2024
R-4.5-winOKSep 06 2024
R-4.5-linuxOKSep 06 2024
R-4.4-winOKSep 06 2024
R-4.4-macOKSep 06 2024
R-4.3-winOKSep 06 2024
R-4.3-macOKSep 06 2024

Exports:Agg.SimAHP.BetaAHP.UnifCPP.AHP.BetaCPP.AHP.UnifCPP.Axes.BetaCPP.Axes.NormalCPP.Choquet.BetaCPP.GiniCPP.Malmquist.BetaCPP.mbCPP.rhCPP.SAWCPP.SAW.EntropyCPP.Tri.BetaCPP.Tri.ChoquetEntrop.weightsPMax.BetaPMax.NormalPMin.BetaPMin.Normal

Dependencies:abindbackportsbootbroomcarcarDataclicolorspacecorrplotcowplotcpp11DerivdoBydplyrfansifarvergenericsggplot2ggpubrggrepelggsciggsignifgluegridExtragtableineqisobandkappalabkernlablabelinglatticelifecyclelme4lpSolvemagrittrMASSMatrixMatrixModelsmc2dmgcvmicrobenchmarkminqamodelrmunsellmvtnormnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpolynompurrrquadprogquantregR6RColorBrewerRcppRcppEigenrlangrstatixscalesSparseMstringistringrsurvivaltibbletidyrtidyselectutf8vctrsviridisLitewithr

Readme and manuals

Help Manual

Help pageTopics
A Package for the Composition of Probabilistic Preferences (CPP)CPP-package CPP
Aggregation of expert's estimatives by similarity of valuesAgg.Sim
Probabilistic AHP using Beta PERT distributionsAHP.Beta
Probabilistic AHP using Uniform distributionsAHP.Unif
CPP Additive Weighting with Probabilistic AHP using Beta PERT distributionsCPP.AHP.Beta
CPP Additive Weighting with Probabilistic AHP using Uniform distributionsCPP.AHP.Unif
CPP by axes using Beta PERT distributionsCPP.Axes.Beta
CPP by axes using Normal distributionsCPP.Axes.Normal
CPP by Choquet integrals, using Beta PERT distributionsCPP.Choquet.Beta
CPP by the Gini Index, using Beta PERT distributionsCPP.Gini
CPP by the Malmquist Index, using Beta PERT distributionsCPP.Malmquist.Beta
CPP with multiple perspectives for decision-making, based on the 'Moneyball' principle.CPP.mb
CPP with multiple perspectives for human resources evaluationCPP.rh
CPP by weighted sum, with weights informed by the userCPP.SAW
CPP by weighted sum, with weights computed from Shannon entropy.CPP.SAW.Entropy
CPP for sorting alternatives in ordinal classesCPP.Tri.Beta
CPP for sorting alternatives, based on Choquet integralsCPP.Tri.Choquet
Weights by entropyEntrop.weights
Probabilities of maximization, by Beta PERT distributionsPMax.Beta
Probabilities of maximization, by Normal distributionsPMax.Normal
Probabilities of minimization, by Beta PERT distributionsPMin.Beta
Probabilities of minimization, by Normal distributionsPMin.Normal