relations v0.6-8

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by Kurt Hornik View Source

Data Structures and Algorithms for Relations

Data structures and algorithms for k-ary relations with arbitrary domains, featuring relational algebra, predicate functions, and fitters for consensus relations.

Functions in relations

Name	Description
ranking	Rankings
reduction	Transitive and Reflexive Reduction
trace	Traces of Endorelations
transform	Transform incidences
dissimilarity	Dissimilarity Between Relations
scores	Relation Scores
relation	Relations
setters	Modify Relations
table	Relation Table
properties	Relation Properties
violations	Violations of Relation Properties
predicates	Relation Predicates
charfun	Relation Characteristic Functions
Felines	Felines Data
choice	Relation-Based Choices
Cetacea	Cetacea Data
SVMBench	SVM Benchmarking Data and Consensus Relations
classes	Relation Equivalence Classes
algebra	Relational Algebra
closure	Transitive and Reflexive Closure
components	Connected components
incidence	Relation Incidences
impute	Impute relations
plot	Visualize Relations
graph	Relation Graph
pclust	Prototype-Based Partitions of Relations
cover	Covering Relations
ensemble	Relation Ensembles
consensus	Consensus Relations
domain	Relation Domain, Arity, and Size
elements	Elements of Relation Domains
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Vignettes of relations

Name
abbrvnat.bst
relations.Rnw
relations.bib
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Details

Encoding	UTF-8
LazyData	yes
License	GPL-2
NeedsCompilation	no
Packaged	2018-04-23 04:42:52 UTC; hornik
Repository	CRAN
Date/Publication	2018-04-23 09:11:24 UTC

suggests	clue (>= 0.3-49) , lpSolve (>= 5.6.3) , methods , Rglpk (>= 0.3-1) , Rgraphviz , Rsymphony (>= 0.1-9)
imports	cluster , graphics , grDevices , sets (>= 1.0-16) , slam , stats
depends	R (>= 3.2.0)
enhances	Rcplex , seriation
Contributors	David Meyer, Christian Buchta