Learn R Programming

⚠️There's a newer version (0.2.2) of this package.Take me there.

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. .

Copy Link

Version

Install

install.packages('metaSDTreg')

Monthly Downloads

238

Version

0.2.1

License

GPL-3

Maintainer

Simon Bang Kristensen

Last Published

October 14th, 2020

Functions in metaSDTreg (0.2.1)

Construct metaSDTdata

lines.predict_roc

Lines of predicted ROC curve

plot.predict_roc

Plot predicted ROC curve

Meta-SDT log-likelihood

print.metaSDTreg

Print method for metaSDTreg

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

Simulated metacognition experiment

print.summary.metaSDTreg

Print summary method for metaSDTreg

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

Meta-SDT regression

coef.metaSDTreg

Coefficients method for metaSDTreg

Control for metaSDTreg

logLik.metaSDTreg

Log-likelihood of metaSDTreg