Package: metaSDTreg 0.2.2

Simon Bang Kristensen
metaSDTreg: 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>.
Authors:
metaSDTreg_0.2.2.tar.gz
metaSDTreg_0.2.2.tar.gz(r-4.5-noble)metaSDTreg_0.2.2.tar.gz(r-4.4-noble)
metaSDTreg_0.2.2.tgz(r-4.4-emscripten)metaSDTreg_0.2.2.tgz(r-4.3-emscripten)
metaSDTreg.pdf |metaSDTreg.html✨
metaSDTreg/json (API)
# Install 'metaSDTreg' in R: |
install.packages('metaSDTreg', repos = 'https://cloud.r-project.org') |
- simMetaData - Simulated metacognition experiment
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:585ee2f5e5. Checks:3 OK. Indexed: yes.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Mar 07 2025 |
R-4.5-linux | OK | Mar 07 2025 |
R-4.4-linux | OK | Mar 07 2025 |
Exports:metaSDTcontrolmetaSDTdatametaSDTregpredict_roc
Dependencies:digestgenericslatticeMASSMatrixmaxLikmiscToolsnlmenumDerivordinalsandwichtruncnormucminfzoo
Citation
To cite package ‘metaSDTreg’ in publications use:
Kristensen S, Sandberg K, Bibby B (2023). metaSDTreg: Regression Models for Meta Signal Detection Theory. R package version 0.2.2, https://CRAN.R-project.org/package=metaSDTreg.
Corresponding BibTeX entry:
@Manual{, title = {metaSDTreg: Regression Models for Meta Signal Detection Theory}, author = {Simon Bang Kristensen and Kristian Sandberg and Bo Martin Bibby}, year = {2023}, note = {R package version 0.2.2}, url = {https://CRAN.R-project.org/package=metaSDTreg}, }
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Coefficients method for metaSDTreg | coef.metaSDTreg |
Lines of predicted ROC curve | lines.predict_roc |
Log-likelihood of metaSDTreg | logLik.metaSDTreg |
Control for metaSDTreg | metaSDTcontrol |
Construct metaSDTdata | metaSDTdata |
Meta-SDT regression | metaSDTreg |
Plot predicted ROC curve | plot.predict_roc |
Points from predicted ROC curve | points.predict_roc |
Generic predict_roc method | predict_roc |
Observed ROC points | predict_roc.metaSDTdata |
Predicted ROC curve | predict_roc.metaSDTreg |
Print method for metaSDT data | print.metaSDTdata |
Print method for metaSDTreg | print.metaSDTreg |
Print method for a summary.metaSDTdata object | print.summary.metaSDTdata |
Print summary method for metaSDTreg | print.summary.metaSDTreg |
Simulated metacognition experiment | simMetaData |
Summarise a metaSDTdata object as a cognitive experiment. | summary.metaSDTdata |
Summary method for metaSDTreg | summary.metaSDTreg |
Variance-covariance method for metaSDTreg | vcov.metaSDTreg |