metaSDTreg v0.2.1


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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/>.

Functions in metaSDTreg

Name Description
metaSDTdata Construct metaSDTdata
lines.predict_roc Lines of predicted ROC curve
plot.predict_roc Plot predicted ROC curve
metaSDT.loglik Meta-SDT log-likelihood
print.metaSDTreg Print method for metaSDTreg
ROCcoords Extract coordinates for predicted ROC curve
starting.vals.PPO Starting values from PPO
summary.metaSDTdata Summarise a metaSDTdata object as a cognitive experiment.
points.predict_roc Points from predicted ROC curve
print.summary.metaSDTdata Print method for a summary.metaSDTdata object
simMetaData Simulated metacognition experiment
print.summary.metaSDTreg Print summary method for metaSDTreg
predict_roc Generic predict_roc method
predict_roc.metaSDTdata Observed ROC points
vcov.metaSDTreg Variance-covariance method for metaSDTreg
summary.metaSDTreg Summary method for metaSDTreg
print.metaSDTdata Print method for metaSDT data
predict_roc.metaSDTreg Predicted ROC curve
metaSDTreg Meta-SDT regression
coef.metaSDTreg Coefficients method for metaSDTreg
metaSDTcontrol Control for metaSDTreg
logLik.metaSDTreg Log-likelihood of metaSDTreg
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License GPL-3
Encoding UTF-8
LazyData true
RoxygenNote 7.1.1
NeedsCompilation no
Packaged 2020-10-12 18:28:37 UTC; simon
Repository CRAN
Date/Publication 2020-10-14 08:00:02 UTC

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