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Qval
View on CRAN: Click
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Download and install Qval package within the R console
Install from CRAN:
install.packages("Qval")
Install from Github:
library("remotes")
install_github("cran/Qval")
Install by package version:
library("remotes")
install_version("Qval", "1.0.0")
Attach the package and use:
library("Qval")
Maintained by
Haijiang Qin
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-02-04
Latest Update: 2024-03-02
Description:
Provide a variety of Q-matrix validation methods for the generalized cognitive diagnosis models, including the method based on the generalized deterministic input, noisy, and gate model (G-DINA) by de la Torre (2011) discrimination index (the GDI method) by de la Torre and Chiu (2016) , the step-wise Wald test method (the Wald method) by Ma and de la Torre (2020) , the Hull method by Najera et al. (2021) , the multiple logistic regression-based Q-matrix validation method (the MLR-B method) by Tu et al. (2022) . Different research methods during Q-matrix validating are available.
How to cite:
Haijiang Qin (2024). Qval: The Q-Matrix Validation Methods Framework. R package version 1.0.0, https://cran.r-project.org/web/packages/Qval. Accessed 21 Nov. 2024.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for Qval
Functions, R codes and Examples using
the Qval R package
Some associated functions: CDM . fit . get.Mmatrix . get.PVAF . get.R2 . getOSR . getQRR . getTNR . getTPR . getUSR . getVRR . sim.MQ . sim.Q . sim.data . validation .
Some associated R codes: CDM.R . GDI.R . Hull.R . MLR-B.R . MLR.R . MLRlasso.R . Mmatrix.R . OSR.R . P.R . PVAF.R . Pattern.R . QRR.R . R2.R . TNR.R . TPR.R . USR.R . VRR.R . Wald.R . Wald.test.R . convex.R . cov.R . fit.R . priority.R . sim.MQ.R . sim.Q.R . sim.data.R . validation.R . zzz.R . Full Qval package functions and examples
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