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psychotools (version 0.5-0)

Psychometric Modeling Infrastructure

Description

Infrastructure for psychometric modeling such as data classes (for item response data and paired comparisons), basic model fitting functions (for Bradley-Terry, Rasch, parametric logistic IRT, generalized partial credit, rating scale, multinomial processing tree models), extractor functions for different types of parameters (item, person, threshold, discrimination, guessing, upper asymptotes), unified inference and visualizations, and various datasets for illustration. Intended as a common lightweight and efficient toolbox for psychometric modeling and a common building block for fitting psychometric mixture models in package "psychomix" and trees based on psychometric models in package "psychotree".

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Version

Install

install.packages('psychotools')

Monthly Downloads

1,687

Version

0.5-0

License

GPL-2 | GPL-3

Maintainer

Achim Zeileis

Last Published

December 19th, 2018

Functions in psychotools (0.5-0)

SourceMonitoring

Performance in a Source-Monitoring Experiment
MathExam14W

Mathematics 101 Exam Results
GermanParties2009

Choice among German Political Parties
anchortest

Anchor methods for the detection of uniform DIF in the Rasch model
anchor

Anchor Methods for the Detection of Uniform DIF the Rasch Model
StereotypeThreat

Stereotype Threat in Dutch Differential Aptitude Test
ConspiracistBeliefs2016

Generic Conspiracist Beliefs Scale (2016 Data)
FirstNames

Popularity of First Names
covariates

Extract/Set Covariates
gpcmodel

Generalized Partial Credit Model Fitting Function
as.list.itemresp

Coercing Item Response Data
guesspar

Extract Guessing Parameters of Item Response Models
threshpar

Extract Threshold Parameters of Item Response Models
MemoryDeficits

Memory Deficits in Psychiatric Patients
upperpar

Extract Upper Asymptote Parameters of Item Response Models
btmodel

Bradley-Terry Model Fitting Function
curveplot

Response Curve Plots for IRT Models
PairClustering

Pair Clustering Data in Klauer (2006)
paircomp

Data Structure for Paired Comparisons
pcmodel

Partial Credit Model Fitting Function
infoplot

Information Plots for IRT Models
discrpar

Extract Discrimination Parameters of Item Response Models
itemresp

Data Structure for Item Response Data
elementary_symmetric_functions

Calculation of the Elementary Symmetric Functions and Their Derivatives
itempar

Extract Item Parameters of Item Response Models
print.paircomp

Formatting Paired Comparison Data
predict.pcmodel

Predict Methods for Item Response Models
print.itemresp

Formatting Item Response Data
profileplot

Profile Plots for IRT Models
plmodel

Parametric Logistic Model Fitting Function
rsmodel

Rating Scale Model Fitting Function
plot.btmodel

Visualizing Bradley-Terry Models
subset.itemresp

Subsetting Item Response Data
raschmodel

Rasch Model Fitting Function
labels<-

Set Labels
regionplot

Region Plots for IRT Models
subset.paircomp

Subsetting/Reordering Paired Comparison Data
personpar

Extract Person Parameters of Item Response Models
piplot

Person-Item Plots for IRT Models
worth

Extract Worth Parameters
summary.itemresp

Summarizing and Visualizing Item Response Data
Sim3PL

Simulated Data for fitting a 3PL and 3PLu
SoundQuality

Quality of Multichannel Reproduced Sound
VerbalAggression

Situation-Response Questionnaire on Verbal Aggression
YouthGratitude

Measuring Gratitude in Youth
mptmodel

Multinomial Processing Tree (MPT) Model Fitting Function
mscale

Extract/Replace Measurement Scale
plot.paircomp

Plotting Paired Comparison Data
plot.raschmodel

Visualizing IRT Models