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:Simon Bang Kristensen [aut, cre], Kristian Sandberg [aut], Bo Martin Bibby [aut]

metaSDTreg_0.2.2.tar.gz
metaSDTreg_0.2.2.tar.gz(r-4.7-any)metaSDTreg_0.2.2.tar.gz(r-4.6-any)
metaSDTreg_0.2.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION
card.svg |card.png
metaSDTreg/json (API)

# Install 'metaSDTreg' in R:
install.packages('metaSDTreg', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 241 downloads 4 exports 14 dependencies

Last updated from:585ee2f5e5. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK125
source / vignettesOK156
linux-release-x86_64OK116
wasm-releaseOK101

Exports:metaSDTcontrolmetaSDTdatametaSDTregpredict_roc

Dependencies:digestgenericslatticeMASSMatrixmaxLikmiscToolsnlmenumDerivordinalsandwichtruncnormucminfzoo