metaSDTreg: Regression Models for Meta Signal Detection Theory

Regression methods for the meta-SDT model. The package implements methods for cognitive experiments of meta cognition 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/j.jmp.2019.102297>.

Version: 0.2.0
Depends: R (≥ 3.4.3), ordinal (≥ 2015.6-28)
Imports: maxLik (≥ 1.3-4), truncnorm (≥ 1.0-7), Matrix (≥ 1.2.17)
Published: 2019-11-30
Author: Simon Bang Kristensen [aut, cre]
Maintainer: Simon Bang Kristensen <simonbk at ph.au.dk>
License: GPL-3
NeedsCompilation: no
CRAN checks: metaSDTreg results

Downloads:

Reference manual: metaSDTreg.pdf
Package source: metaSDTreg_0.2.0.tar.gz
Windows binaries: r-prerelease: metaSDTreg_0.2.0.zip, r-release: metaSDTreg_0.2.0.zip, r-oldrel: metaSDTreg_0.2.0.zip
macOS binaries: r-prerelease: metaSDTreg_0.2.0.tgz, r-release: metaSDTreg_0.2.0.tgz, r-oldrel: metaSDTreg_0.2.0.tgz

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