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DAKS (version 2.1-3)

Data Analysis and Knowledge Spaces

Description

Functions and an example dataset for the psychometric theory of knowledge spaces. This package implements data analysis methods and procedures for simulating data and quasi orders and transforming different formulations in knowledge space theory. See package?DAKS for an overview.

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Version

Install

install.packages('DAKS')

Monthly Downloads

274

Version

2.1-3

License

GPL (>= 2)

Maintainer

Ali Uenlue

Last Published

June 6th, 2016

Functions in DAKS (2.1-3)

pattern

Frequencies of Response Patterns and Knowledge States
ind_gen

Inductive Generation Procedure
ob_counter

Computation of Numbers of Counterexamples
orig_iita

Original Inductive Item Tree Analysis
imp2state

Transformation from Implications to Knowledge States
hasse

Hasse Diagram of Surmise Relation
corr_iita

Corrected Inductive Item Tree Analysis
mini_iita

Minimized Corrected Inductive Item Tree Analysis
iita

Inductive Item Tree Analysis
DAKS-package

Data Analysis and Knowledge Spaces: The R Package DAKS
print.ztest

Print Method for Objects of Class ztest
print.summpopiita

Print Method for Objects of Class summpopiita
pop_variance

Population Asymptotic Variance
print.pat

Print Method for Objects of Class pat
print.popiita

Print Method for Objects of Class popiita
pisa

Programme for International Student Assessment (PISA) Data
state2imp

Transformation from Knowledge States to Implications
pop_iita

Population Inductive Item Tree Analysis
simu

Data and Quasi Order Simulation Tool
print.iita

Print Method for Objects of Class iita
summary.iita

Summary Method for Objects of Class iita
variance

Estimated Asymptotic Variance
summary.popiita

Summary Method for Objects of Class popiita
z_test

One- and Two-Sample Z-Tests for diff Values