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/j.jmp.2019.102297>.

Version:	0.2.1
Depends:	R (≥ 3.6), ordinal (≥ 2019.12.10)
Imports:	maxLik (≥ 1.3-4), truncnorm (≥ 1.0-7), Matrix (≥ 1.2.17)
Published:	2020-10-14
Author:	Simon Bang Kristensen [aut, cre], Kristian Sandberg [aut], Bo Martin Bibby [aut]
Maintainer:	Simon Bang Kristensen <sbmkristensen at health.sdu.dk>
License:	GPL-3
NeedsCompilation:	no
CRAN checks:	metaSDTreg results

Documentation:

Reference manual:

metaSDTreg.pdf

Downloads:

Package source:	metaSDTreg_0.2.1.tar.gz
Windows binaries:	r-devel: metaSDTreg_0.2.1.zip, r-release: metaSDTreg_0.2.1.zip, r-oldrel: metaSDTreg_0.2.1.zip
macOS binaries:	r-release (arm64): metaSDTreg_0.2.1.tgz, r-oldrel (arm64): metaSDTreg_0.2.1.tgz, r-release (x86_64): metaSDTreg_0.2.1.tgz, r-oldrel (x86_64): metaSDTreg_0.2.1.tgz
Old sources:	metaSDTreg archive

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