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agop (version 0.1-1)

Aggregation Operators and Preordered Sets

Description

Tools supporting multi-criteria decision making, including variable number of criteria, by means of aggregation operators and preordered sets. Possible applications include, but are not limited to, scientometrics and bibliometrics.

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Version

Install

install.packages('agop')

Monthly Downloads

439

Version

0.1-1

License

LGPL (>= 3)

Maintainer

Marek Gagolewski

Last Published

June 27th, 2013

Functions in agop (0.1-1)

index_g

Egghe's g-index
index_w

Woeginger's w-index
pareto2_estimate_mle

Parameter Estimation in the Pareto-II Distribution (MLE)
pord_weakdom

Weak Dominance Relation (Preorder)
agop-package

Aggregation Operators Package for R
de_transitive

De-transitivitize Graph
plot_producer

Draws a Graphical Representation of a Given Vector
index_rp

The r_p-index
pareto2_test_f

Two-Sample F-test For Equality of Shape Parameters for Type II-Pareto Distributions
is_reflexive

Check if Given Adjacency Matrix is Reflexive
index_maxprod

Kosmulski's MAXPROD-index
get_equivalence_classes

Get All Equivalence Classes of a Total Binary Relation
owa

WAM and OWA Operators
rpareto2

Pareto Type-II (Lomax) Distribution
is_total

Check if Given Adjacency Matrix is Total
owmax

WMax, WMin, OWMax, and OWMin Operators
closure_transitive

Transitive Closure of Adjacency Matrix
index_h

Hirsch's h-index
rel_graph

Create Adjacency Matrix of Given Binary Relation
get_incomparable_pairs

Get Incomparable Pairs in an Adjacency Matrix
is_transitive

Check if Given Adjacency Matrix is Transitive
get_independent_sets

Get All Maximal Independent Sets
closure_total_fair

Total Closure of Adjacency Matrix [Fair Totalization]
index_lp

The l_p-index
pareto2_estimate_mmse

Parameter Estimation in the Pareto-II Distribution (MMSE)