metasdt

A simple R package for calculating (meta-) SDT measures

https://github.com/craddm/metasdt

Science Score: 67.0%

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Repository

A simple R package for calculating (meta-) SDT measures

Basic Info

Host: GitHub
Owner: craddm
License: other
Language: R
Default Branch: main
Homepage:
Size: 122 KB

Statistics

Stars: 16
Watchers: 2
Forks: 3
Open Issues: 4
Releases: 1

Created over 8 years ago · Last pushed about 2 years ago

Metadata Files

Readme License Citation Codemeta

README.Rmd

---
output: github_document
---



```{r, include = FALSE}
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-",
  out.width = "100%"
)
```

# metaSDT


[![R-CMD-check](https://github.com/craddm/metaSDT/workflows/R-CMD-check/badge.svg)](https://github.com/craddm/metaSDT/actions)
[![DOI](https://zenodo.org/badge/99712128.svg)](https://zenodo.org/badge/latestdoi/99712128)
[![R-CMD-check](https://github.com/craddm/metaSDT/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/craddm/metaSDT/actions/workflows/R-CMD-check.yaml)


This is an R implementation of Maniscalco and Lau's methods of calculating metacognitive SDT measures using maximum likelihood estimation and minimization of the sum of squared errors.

## Installation


You can install `metaSDT`'s development version from [GitHub](https://github.com/) with:

``` r
# install.packages("devtools")
devtools::install_github("craddm/metaSDT")
```

For further details on metacognitive/Type 2 SDT, see their website at http://www.columbia.edu/~bsm2105/type2sdt/ and the following publications:

Maniscalco, B., & Lau, H. (2012). A signal detection theoretic approach for estimating metacognitive sensitivity from confidence ratings. Consciousness and Cognition, 21(1), 422–430. doi:10.1016/j.concog.2011.09.021

Maniscalco, B., & Lau, H. (2014). Signal detection theory analysis of type 1 and type 2 data: meta-d’, response-specific meta-d’, and the unequal variance SDT mode. In S. M. Fleming & C. D. Frith (Eds.), The Cognitive Neuroscience of Metacognition (pp.25-66). Springer.

If you use these functions, cite the above papers and scripts on which it is based.

The `fit_meta_d_SSE` and `fit_meta_d_MLE` commands require data in the same format outlined on M & L's webpage, as follows:

Suppose there are two stimuli, A, and B, and three confidence ratings - high (3), medium(2), and low(1). The possible responses are

A3, A2, A1, B1, B2, B3.

Input to the function should be counts for each of these responses separately for each stimulus type.

So for example:

```{r}
library(metaSDT)
nR_S1 <- c(100, 50, 30, 20, 10, 4)
nR_S2 <- c(4, 20, 21, 35, 60, 90)
fit_MLE <- fit_meta_d_MLE(nR_S1,
                          nR_S2)
fit_MLE
fit_SSE <- fit_meta_d_SSE(nR_S1,
                          nR_S2)
fit_SSE
```

Output is a data frame with m-ratio etc.

Owner

Name: Matt Craddock
Login: craddm
Kind: user
Location: Lincoln/London, UK
Company: The Alan Turing Institute

Website: www.mattcraddock.com
Twitter: matt_craddock
Repositories: 33
Profile: https://github.com/craddm

Research Software Engineer

Citation (CITATION.cff)

# -----------------------------------------------------------
# CITATION file created with {cffr} R package, v0.2.3
# See also: https://docs.ropensci.org/cffr/
# -----------------------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "metaSDT" in publications use:'
type: software
license: MIT
title: 'metaSDT: Calculate Type 1 and Type 2 Signal Detection Measures'
version: 0.6.0
abstract: Type 1 and Type 2 signal detection measures for simple 2AFC tasks.
authors:
- family-names: Craddock
  given-names: Matt
  email: matt@mattcraddock.com
preferred-citation:
  type: manual
  title: 'metaSDT: Calculate Type 1 and Type 2 Signal Detection Measures'
  authors:
  - family-names: Craddock
    given-names: Matt
    email: matt@mattcraddock.com
  version: 0.6.0
  abstract: Type 1 and Type 2 signal detection measures for simple 2AFC tasks.
  repository-code: https://github.com/craddm/metaSDT
  url: https://github.com/craddm/metaSDT
  date-released: '2021-08-30'
  contact:
  - family-names: Craddock
    given-names: Matt
    email: matt@mattcraddock.com
  license: MIT
  year: '2021'
repository-code: https://github.com/craddm/metaSDT
url: https://github.com/craddm/metaSDT
date-released: '2021-08-30'
contact:
- family-names: Craddock
  given-names: Matt
  email: matt@mattcraddock.com
references:
- type: software
  title: dplyr
  abstract: 'dplyr: A Grammar of Data Manipulation'
  notes: Imports
  authors:
  - family-names: Wickham
    given-names: Hadley
    email: hadley@rstudio.com
    orcid: https://orcid.org/0000-0003-4757-117X
  - family-names: François
    given-names: Romain
    orcid: https://orcid.org/0000-0002-2444-4226
  - family-names: Henry
    given-names: Lionel
  - family-names: Müller
    given-names: Kirill
    orcid: https://orcid.org/0000-0002-1416-3412
  year: '2022'
  url: https://CRAN.R-project.org/package=dplyr
- type: software
  title: tidyr
  abstract: 'tidyr: Tidy Messy Data'
  notes: Imports
  authors:
  - family-names: Wickham
    given-names: Hadley
    email: hadley@rstudio.com
  - family-names: Girlich
    given-names: Maximilian
  year: '2022'
  url: https://CRAN.R-project.org/package=tidyr
- type: software
  title: rlang
  abstract: 'rlang: Functions for Base Types and Core R and ''Tidyverse'' Features'
  notes: Imports
  authors:
  - family-names: Henry
    given-names: Lionel
    email: lionel@rstudio.com
  - family-names: Wickham
    given-names: Hadley
    email: hadley@rstudio.com
  year: '2022'
  url: https://CRAN.R-project.org/package=rlang
- type: software
  title: nleqslv
  abstract: 'nleqslv: Solve Systems of Nonlinear Equations'
  notes: Imports
  authors:
  - family-names: Hasselman
    given-names: Berend
  year: '2022'
  url: https://CRAN.R-project.org/package=nleqslv
- type: software
  title: purrr
  abstract: 'purrr: Functional Programming Tools'
  notes: Imports
  authors:
  - family-names: Henry
    given-names: Lionel
    email: lionel@rstudio.com
  - family-names: Wickham
    given-names: Hadley
    email: hadley@rstudio.com
  year: '2022'
  url: https://CRAN.R-project.org/package=purrr
- type: software
  title: testthat
  abstract: 'testthat: Unit Testing for R'
  notes: Suggests
  authors:
  - family-names: Wickham
    given-names: Hadley
    email: hadley@rstudio.com
  year: '2022'
  url: https://CRAN.R-project.org/package=testthat

CodeMeta (codemeta.json)

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Dependencies

DESCRIPTION cran

dplyr * imports
nleqslv * imports
purrr * imports
rlang * imports
tidyr * imports
testthat * suggests

.github/workflows/R-CMD-check.yaml actions

actions/checkout v2 composite
r-lib/actions/check-r-package v2 composite
r-lib/actions/setup-pandoc v2 composite
r-lib/actions/setup-r v2 composite
r-lib/actions/setup-r-dependencies v2 composite

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