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/j.jmp.2019.102297>.
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 |
depends | , ordinal (>= 2019.12.10) , R (>= 3.6) |
imports | Matrix (>= 1.2.17) , maxLik (>= 1.3-4) , truncnorm (>= 1.0-7) |
Contributors | Kristian Sandberg, Bo Martin Bibby |
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