metaSDTreg: Regression Models for Meta Signal Detection Theory

Regression methods for the meta-SDT model. The package implements methods for cognitive experiments of metacognition as described in Kristensen, S. B., Sandberg, K., & Bibby, B. M. (2020). Regression methods for metacognitive sensitivity. Journal of Mathematical Psychology, 94. <doi:10.1016/>.

Version: 0.2.2
Depends: R (≥ 4.2), ordinal (≥ 2022.11-16)
Imports: maxLik (≥ 1.5-2), truncnorm (≥ 1.0-8), Matrix (≥ 1.4.0)
Published: 2023-03-13
DOI: 10.32614/CRAN.package.metaSDTreg
Author: Simon Bang Kristensen [aut, cre], Kristian Sandberg [aut], Bo Martin Bibby [aut]
Maintainer: Simon Bang Kristensen <simonbk at>
License: GPL-3
NeedsCompilation: no
CRAN checks: metaSDTreg results


Reference manual: metaSDTreg.pdf


Package source: metaSDTreg_0.2.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): metaSDTreg_0.2.2.tgz, r-oldrel (arm64): metaSDTreg_0.2.2.tgz, r-release (x86_64): metaSDTreg_0.2.2.tgz, r-oldrel (x86_64): metaSDTreg_0.2.2.tgz
Old sources: metaSDTreg archive


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