Package: deaR 1.4.1

Vicente Bolos

deaR: Conventional and Fuzzy Data Envelopment Analysis

Set of functions for Data Envelopment Analysis. It runs both classic and fuzzy DEA models. See: Banker, R.; Charnes, A.; Cooper, W.W. (1984). <doi:10.1287/mnsc.30.9.1078>, Charnes, A.; Cooper, W.W.; Rhodes, E. (1978). <doi:10.1016/0377-2217(78)90138-8> and Charnes, A.; Cooper, W.W.; Rhodes, E. (1981). <doi:10.1287/mnsc.27.6.668>.

Authors:Vicente Coll-Serrano, Vicente Bolos, Rafael Benitez Suarez <[email protected]>

deaR_1.4.1.tar.gz
deaR_1.4.1.tar.gz(r-4.5-noble)deaR_1.4.1.tar.gz(r-4.4-noble)
deaR_1.4.1.tgz(r-4.4-emscripten)deaR_1.4.1.tgz(r-4.3-emscripten)
deaR.pdf |deaR.html
deaR/json (API)

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

Peer review:

Datasets:

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

42 exports 0.61 score 74 dependencies 2 mentions 138 scripts 980 downloads

Last updated 1 years agofrom:49e5427f0b. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 05 2024
R-4.5-linuxOKSep 05 2024

Exports:bootstrap_basiccross_efficiencycross_efficiency_fuzzyeff_dmusefficienciesextreme_efficientis.deais.dea_fuzzyis.deadatais.deadata_fuzzyis.friendslambdasmake_deadatamake_deadata_fuzzymake_malmquistmalmquist_indexmaximal_friendsmodel_additivemodel_addminmodel_addsupereffmodel_basicmodel_deapsmodel_fdhmodel_multipliermodel_nonradialmodel_profitmodel_rdmmodel_sbmeffmodel_sbmsupereffmodel_supereffmodelfuzzy_guotanakamodelfuzzy_kaoliumodelfuzzy_possibilisticmultipliersread_dataread_data_fuzzyread_malmquistreferencesrtsslackstargetsundesirable_basic

Dependencies:askpassbase64encbslibcachemclicolorspacecpp11crosstalkcurldata.tabledigestdplyrevaluatefansifarverfastmapfontawesomefsgenericsggplot2gluegridExtragtablehighrhtmltoolshtmlwidgetshttrigraphisobandjquerylibjsonliteknitrlabelinglaterlatticelazyevallifecyclelpSolvemagrittrMASSMatrixmemoisemgcvmimemunsellnlmeopensslpillarpkgconfigplotlypromisespurrrR6rappdirsRColorBrewerRcpprlangrmarkdownsassscalesstringistringrsystibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrwritexlxfunyaml

Readme and manuals

Help Manual

Help pageTopics
Data: Coelli, Grifell-Tatje, and Perelman (2002).Airlines
Bootstrapping DEAbootstrap_basic
Data: Coelli, Rao and Battese (1998).Coelli_1998
Data: Coll and Blasco (2006).Coll_Blasco_2006
Cross efficiency analysiscross_efficiency
Cross efficiency fuzzy analysiscross_efficiency_fuzzy
Data: Tomkins and Green (1988).Departments
Data: Doyle and Green (1994).Doyle_Green_1994
Data: Wang and Lan (2011).Economy
Data: Wang and Lan (2011).EconomyLong
Efficient DMUs.eff_dmus
Objective scoresefficiencies
Objective scoresefficiencies.dea
Efficienciesefficiencies.dea_fuzzy
Data: Färe, Grosskopf and Kokkelenberg (1989).Electric_plants
Extreme efficient DMUsextreme_efficient
Data: Zhu (2014).Fortune500
Data: Fried, Knox Lovell and Schmidt (1993).Fried1993
Data: Fuzzy data reading example.FuzzyExample
Data: Golany and Roll (1989).Golany_Roll_1989
Data: Grifell-Tatjé and Lovell (1999).Grifell_Lovell_1999
Data: Guo and Tanaka (2001).Guo_Tanaka_2001
Data: Wu, Tsai and Zhou (2011).Hotels
Data: Hua and Bian (2007).Hua_Bian_2007
dea class check.is.dea
dea_fuzzy class check.is.dea_fuzzy
deadata class check.is.deadata
deadata_fuzzy class check.is.deadata_fuzzy
Friends check.is.friends
Data: Kao and Liu (2003).Kao_Liu_2003
Lambdaslambdas
Data: Leon, Liern, Ruiz and Sirvent (2003).Leon2003
Data: Cooper, Seiford and Tone (2007).Libraries
Data: Lim and Zhu (2015).Lim_Zhu_2015
make_deadatamake_deadata
make_deadata_fuzzymake_deadata_fuzzy
make_malmquistmake_malmquist
Malmquist indexmalmquist_index
Maximal friends of a set of DMUs.maximal_friends
Additive DEA model.model_additive
Additive-min DEA model.model_addmin
Additive super-efficiency DEA model.model_addsupereff
Basic (radial and directional) DEA model.model_basic
Preference Structure DEA model.model_deaps
Free disposal hull (FDH) model.model_fdh
Multiplier DEA modelmodel_multiplier
Non-radial DEA model.model_nonradial
Profit efficiency DEA model.model_profit
Range directional model.model_rdm
Slack based measure (SBM) of efficiency model.model_sbmeff
Slack based measure of superefficiency modelmodel_sbmsupereff
Radial super-efficiency basic DEA modelmodel_supereff
Fuzzy DEA modelmodelfuzzy_guotanaka
Fuzzy DEA model.modelfuzzy_kaoliu
Possibilistic Fuzzy DEA model.modelfuzzy_possibilistic
Multipliersmultipliers
Data: Charnes, Cooper and Rhodes (1981).PFT1981
Plot for DEA models.plot.dea
Plot for fuzzy DEA models.plot.dea_fuzzy
Data: Tone (2002).Power_plants
deadata class print methodprint.deadata
deadata_fuzzy class print methodprint.deadata_fuzzy
read_dataread_data
read_data_fuzzyread_data_fuzzy
read_malmquistread_malmquist
Referencesreferences
Returns to scalerts
Data: Ruggiero (2007).Ruggiero2007
Slacksslacks
Summary conventional DEA models.summary.dea
Summary Fuzzy DEA models.summary.dea_fuzzy
Data: Sanei and Mamizadeh Chatghayeb (2013).Supply_Chain
Targetstargets
Data: Tone (2001).Tone2001
Data: Tone (2003).Tone2003
Undesirable inputs and outputs for basic DEA model.undesirable_basic