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dexterMST  

CML and Bayesian Calibration of Multistage Tests
View on CRAN: Click here


Download and install dexterMST package within the R console
Install from CRAN:
install.packages("dexterMST")

Install from Github:
library("remotes")
install_github("cran/dexterMST")

Install by package version:
library("remotes")
install_version("dexterMST", "0.9.6")



Attach the package and use:
library("dexterMST")
Maintained by
Timo Bechger
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-07-28
Latest Update: 2022-02-14
Description:
Conditional Maximum Likelihood Calibration and data management of multistage tests. Supports polytomous items and incomplete designs with linear as well as multistage tests. Extended Nominal Response and Interaction models, DIF and profile analysis. See Robert J. Zwitser and Gunter Maris (2015).
How to cite:
Timo Bechger (2018). dexterMST: CML and Bayesian Calibration of Multistage Tests. R package version 0.9.6, https://cran.r-project.org/web/packages/dexterMST. Accessed 21 Nov. 2024.
Previous versions and publish date:
0.1.0 (2018-07-28 17:10), 0.1.1 (2018-10-29 20:20), 0.1.2 (2019-08-20 12:20), 0.9.0 (2020-06-24 11:40), 0.9.2 (2021-01-07 05:20), 0.9.3 (2022-02-14 20:40), 0.9.5 (2023-11-28 13:30)
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Complete documentation for dexterMST
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