Science Score: 26.0%
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Scientific vocabulary similarity
Low similarity (11.7%) to scientific vocabulary
Last synced: 10 months ago
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Repository
Detect Aberrant Behavior in Test Data
Basic Info
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 1
Created 10 months ago
· Last pushed 10 months ago
Metadata Files
Readme
Changelog
License
README.Rmd
---
output: github_document
---
```{r, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "man/figures/README-",
out.width = "100%"
)
```
# aberrance
[](https://CRAN.R-project.org/package=aberrance)
[](https://CRAN.R-project.org/package=aberrance)
[](https://CRAN.R-project.org/package=aberrance)
The *aberrance* package contains a collection of functions for detecting several types of aberrant behavior, including:
- **Answer copying**, using statistics such as the $\omega$ statistic (Wollack, 1997).
- **Answer similarity**, using statistics such as the $GBT$ statistic (van der Linden & Sotaridona, 2006) and the $M4$ statistic (Maynes, 2014).
- **Change point**, using statistics such as the likelihood ratio test-based statistic, the score test-based statistic, and the Wald test-based statistic (Shao et al., 2016; Sinharay, 2016; Tu et al., 2023).
- **Nonparametric misfit**, using statistics such as the $ZU3$ statistic (van der Flier, 1982) and the $H^T$ statistic (Sijtsma, 1986).
- **Parametric misfit**, using statistics such as the standardized log-likelihood statistic (Drasgow et al., 1985) and its various corrections (Bedrick, 1997; Gorney et al., 2024; Molenaar & Hoijtink, 1990; Snijders, 2001).
- **Preknowledge**, using statistics such as the signed likelihood ratio test statistic (Sinharay, 2017).
- **Rapid guessing**, using methods such as the custom threshold method (Wise et al., 2004; Wise & Kong, 2005), the normative threshold method (Wise & Ma, 2012), and the cumulative proportion correct method (Guo et al., 2016).
- **Test tampering**, using statistics such as the erasure detection index (Wollack et al., 2015; Wollack & Eckerly, 2017) and its corrected versions (Sinharay, 2018).
## Installation
Install the released version from CRAN:
```{r CRAN, eval = FALSE}
install.packages("aberrance")
```
Alternatively, install the development version from GitHub:
```{r GitHub, eval = FALSE}
# install.packages("devtools")
devtools::install_github("kyliegorney/aberrance")
```
Owner
- Name: Kylie Gorney
- Login: kyliegorney
- Kind: user
- Website: sites.google.com/view/kyliegorney
- Repositories: 1
- Profile: https://github.com/kyliegorney
Assistant Professor at Michigan State University
GitHub Events
Total
- Release event: 3
- Watch event: 1
- Push event: 16
- Create event: 6
Last Year
- Release event: 3
- Watch event: 1
- Push event: 16
- Create event: 6
Packages
- Total packages: 1
-
Total downloads:
- cran 290 last-month
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 5
- Total maintainers: 1
cran.r-project.org: aberrance
Detect Aberrant Behavior in Test Data
- Homepage: https://github.com/kyliegorney/aberrance
- Documentation: http://cran.r-project.org/web/packages/aberrance/aberrance.pdf
- License: GPL (≥ 3)
-
Latest release: 0.3.0
published 10 months ago
Rankings
Dependent packages count: 28.2%
Dependent repos count: 36.1%
Average: 49.7%
Downloads: 84.7%
Maintainers (1)
Last synced:
10 months ago
Dependencies
DESCRIPTION
cran
- MASS * imports
- Rcpp >= 0.11.0 imports
- grDevices * imports
- graphics * imports
- stats * imports
- utils * imports