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metaSDTreg (version 0.2.1)

Regression Models for Meta Signal Detection Theory

Description

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. .

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Version

Install

install.packages('metaSDTreg')

Monthly Downloads

224

Version

0.2.1

License

GPL-3

Maintainer

Simon Bang Kristensen

Last Published

October 14th, 2020

Functions in metaSDTreg (0.2.1)

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