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