Package: ThurMod 1.1.20

ThurMod: Thurstonian CFA and Thurstonian IRT Modeling

Fit Thurstonian forced-choice models (CFA (simple and factor) and IRT) in R. This package allows for the analysis of item response modeling (IRT) as well as confirmatory factor analysis (CFA) in the Thurstonian framework. Currently, estimation can be performed by 'Mplus' and 'lavaan'. References: Brown & Maydeu-Olivares (2011) <doi:10.1177/0013164410375112>; Jansen, M. T., & Schulze, R. (in review). The Thurstonian linked block design: Improving Thurstonian modeling for paired comparison and ranking data.; Maydeu-Olivares & Böckenholt (2005) <doi:10.1037/1082-989X.10.3.285>.

Authors:Markus Thomas Jansen [aut, cre]

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manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
ThurMod/json (API)

# Install 'ThurMod' in R:

install.packages('ThurMod', repos = c('https://markustjansen.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/markustjansen/thurmod/issues

Datasets:

FC - Paired comparisons of $N=15$ items from one factor/trait
FC_raw - Raw ranking data of $N=15$ items from three factors/traits
FC_scores - Scores of the data set 'FC' from Mplus.
FC12 - Paired comparisons of $N=12$ items from one factor/trait

On CRAN:

3.30 score 4 scripts 288 downloads 22 exports 8 dependencies

Last updated from:632cd29d66. Checks:7 ERROR, 2 OK. Indexed: yes.

Target	Result	Time
linux-devel	ERROR	145
source / vignettes	OK	162
linux-release	ERROR	137
macos-release	ERROR	146
macos-oldrel	ERROR	135
windows-devel	ERROR	83
windows-release	ERROR	86
windows-oldrel	ERROR	70
wasm-release	OK	99

Exports:blocksort count.combn count.xblocks designA fit.correct fit.lavaan fit.mplus get.scores get.xblocks get.xblocks.any i.name metablock mod.matrices pair.combn rankA read.mplus recode redundancies reliabiltyFS sim.data syntax.lavaan syntax.mplus

Dependencies:lavaan MASS matrixStats mnormt mvtnorm numDeriv pbivnorm quadprog

Simulating data and estimating Thurstonian IRT and factor models with ThurMod

Rendered fromvignette.Rmdusingknitr::rmarkdown

Last update: 2023-09-19
Started: 2023-09-07

Help page	Topics
Sorts the blocks in ascending numbering	blocksort
Count paired comparisons	count.combn
Determine the number of extra blocks	count.xblocks
Create the Thurstonian design matrix for paired comparison and ranking data.	designA
Paired comparisons of $N=15$ items from one factor/trait (Thurstonian modeling)	FC
Raw ranking data of $N=15$ items from three factors/traits (Thurstonian modeling)	FC_raw
Scores of the data set 'FC' from Mplus.	FC_scores
Paired comparisons of $N=12$ items from one factor/trait (Thurstonian modeling)	FC12
Correct degree of freedom and fit indices in Thurstonian block models	fit.correct
Performs lavaan estimation of the given model.	fit.lavaan
Performs Mplus estimation of the given model.	fit.mplus
Estimate factor scores based on Genuine Likelihood	get.scores
Get extra blocks in a Thurstonian design, that links all blocks.	get.xblocks
Get extra blocks in a Thurstonian design, that links as few blocks as possible.	get.xblocks.any
Creates names for paired comparisons of a given design.	i.name
Find all general blocks	metablock
Create model matrices for Thurstonian modeling	mod.matrices
Determine all paired comparisons	pair.combn
Determine the rank of the design matrix defined by the blocks.	rankA
Reads results from Mplus output file.	read.mplus
Recode variables.	recode
Determine the number of redundancies	redundancies
Calculate reliability estimate for factor scores.	reliabiltyFS
Create data based on Thurstonian model equations	sim.data
Create lavaan syntax for Thurstonian forced choice analysis	syntax.lavaan
Create Mplus syntax for Thurstonian forced choice designs.	syntax.mplus

Package: ThurMod 1.1.20

ThurMod: Thurstonian CFA and Thurstonian IRT Modeling

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