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metaSDTreg (version 0.2.2)

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

144

Version

0.2.2

License

GPL-3

Maintainer

Simon Bang Kristensen

Last Published

March 13th, 2023

Functions in metaSDTreg (0.2.2)

metaSDTdata

Construct metaSDTdata
print.metaSDTdata

Print method for metaSDT data
predict_roc

Generic predict_roc method
predict_roc.metaSDTdata

Observed ROC points
predict_roc.metaSDTreg

Predicted ROC curve
print.summary.metaSDTreg

Print summary method for metaSDTreg
print.summary.metaSDTdata

Print method for a summary.metaSDTdata object
print.metaSDTreg

Print method for metaSDTreg
simMetaData

Simulated metacognition experiment
metaSDTreg

Meta-SDT regression
metaSDT.loglik

Meta-SDT log-likelihood
plot.predict_roc

Plot predicted ROC curve
metaSDTcontrol

Control for metaSDTreg
points.predict_roc

Points from predicted ROC curve
logLik.metaSDTreg

Log-likelihood of metaSDTreg
lines.predict_roc

Lines of predicted ROC curve
ROCcoords

Extract coordinates for predicted ROC curve
coef.metaSDTreg

Coefficients method for metaSDTreg
starting.vals.PPO

Starting values from PPO
summary.metaSDTdata

Summarise a metaSDTdata object as a cognitive experiment.
summary.metaSDTreg

Summary method for metaSDTreg
vcov.metaSDTreg

Variance-covariance method for metaSDTreg