Basic Functions in Knowledge Space Theory Using Matrix Representation

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Documentation for package ‘kstMatrix’ version 1.2-0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

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cad	Knowledge spaces on AutoCAD knowledge
fractions	Knowledge spaces on fractions
kmbasis	Compute the basis of a knowledge space
kmbasisdiagram	Plot the Hasse diagram of a basis stored as a matrix
kmcolors	Determine a color vector based on probabilities
kmdist	Compute the distance between a data set and a knowledge structure
kmeqreduction	Reduce a family of knowledge states with respect to item equivalence
kmfringe	Compute the fringe of a state within a knowledge structure
kmgenerate	Generate a knowledge structure from a set of response patterns
kmhasse	Plot the Hasse diagram of a knowledge structure stored as a matrix
kmiswellgraded	Check for wellgradedness of a knowledge structure
kmmaximalspace	Create trivial knowledge spaces
kmminimalspace	Create trivial knowledge spaces
kmneighbourhood	Compute the neighbourhod of a state within a knowledge structure
kmnneighbourhood	Compute the n-neighbourhod of a state within a knowledge structure
kmnotions	Determine the notions of a knowledge structure
kmsetdistance	Compute the symmetric set difference between two sets
kmsf2basis	Derive a basis from a surmise function
kmsimulate	Simulate a set of response patterns according to the BLIM
kmSRdiagram	Plot the Hasse diagram of a basis stored as a matrix
kmSRvalidate	Validate a surmise relation against a data set
kmsurmisefunction	Compute the surmise function for a knowledge space or basis
kmsurmiserelation	Compute the surmise relation of a quasi-ordinal knowledge space
kmsymmsetdiff	Compute the symmetric set difference between two sets
kmtrivial	Create trivial knowledge spaces
kmunionclosure	Close a family of sets under union
kmvalidate	Validate a knowledge structure against a data set
readwrite	Knowledge spaces on reading and writing abilities
xpl	Small example knowledge space