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tdcm

Transition Diagnostic Classification Models in R

https://github.com/cotterell/tdcm

Science Score: 26.0%

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  • ○
    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
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    .zenodo.json file
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    DOI references
    Found 4 DOI reference(s) in README
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    Scientific vocabulary similarity
    Low similarity (15.3%) to scientific vocabulary

Keywords

package r r-package statistics
Last synced: 10 months ago · JSON representation

Repository

Transition Diagnostic Classification Models in R

Basic Info
Statistics
  • Stars: 0
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  • Open Issues: 0
  • Releases: 1
Topics
package r r-package statistics
Created about 4 years ago · Last pushed over 1 year ago
Metadata Files
Readme Changelog Contributing License Code of conduct Codeowners

README.Rmd 

---
output: github_document
---



```{r, include = FALSE}
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.ext = "png",
  dpi = 300,
  fig.path = "man/figures/README-",
  out.width = "100%" 
)
```

# TDCM


[![CRAN status](https://www.r-pkg.org/badges/version/TDCM)](https://CRAN.R-project.org/package=TDCM)
[![R-CMD-check](https://github.com/cotterell/tdcm/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/cotterell/tdcm/actions/workflows/R-CMD-check.yaml)
[![Codecov test coverage](https://codecov.io/gh/cotterell/tdcm/branch/main/graph/badge.svg)](https://app.codecov.io/gh/cotterell/tdcm?branch=main)


The '**TDCM**' R package lets users estimate the transition diagnostic 
classification model (TDCM) described in 
[Madison & Bradshaw (2018)](https://doi.org/10.1007/s11336-018-9638-5), a 
longitudinal extension of the log-linear cognitive diagnosis model (LCDM) in 
[Henson, Templin & Willse (2009)](https://doi.org/10.1007/s11336-008-9089-5). As 
the LCDM subsumes many other diagnostic classification models (DCMs), many other 
DCMs can be estimated longitudinally via the TDCM framework. The 'TDCM' package 
includes functions to estimate the single-group and multigroup TDCM, summarize 
results of interest including item parameters, growth proportions, transition 
probabilities, transitional reliability, attribute correlations, model fit, and 
growth plots.

## Installation

You can install the 'TDCM' package like so:

::: .pkgdown-release
``` {r, eval=FALSE}
# Install TDCM from CRAN
install.packages("TDCM")
```
:::

``` {r, eval=FALSE}
# Install the latest development version of TDCM from GitHub:
if (!require("devtools")) install.packages("devtools")
devtools::install_github("cotterell/tdcm")
```

## Getting Started

See `vignette("TDCM", package = "TDCM")` or for an overview of the 'TDCM'
package.

Owner

  • Name: Michael E. Cotterell Research Group
  • Login: cotterell
  • Kind: organization
  • Email: mepcott@uga.edu
  • Location: Athens, GA, USA

Research projects under Dr. Michael E. Cotterell

GitHub Events

Total
  • Issues event: 1
  • Watch event: 1
  • Delete event: 1
  • Push event: 22
  • Pull request event: 2
  • Create event: 1
Last Year
  • Issues event: 1
  • Watch event: 1
  • Delete event: 1
  • Push event: 22
  • Pull request event: 2
  • Create event: 1

Packages

  • Total packages: 1
  • Total downloads:
    • cran 97 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 1
  • Total maintainers: 1
cran.r-project.org: TDCM

The Transition Diagnostic Classification Model Framework

  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 97 Last month
Rankings
Dependent packages count: 28.2%
Dependent repos count: 36.1%
Average: 49.6%
Downloads: 84.5%
Maintainers (1)
mepcott@uga.edu
Last synced: 10 months ago

Dependencies

DESCRIPTION cran
  • R >= 4.2 depends
  • commonmark * suggests
  • knitr * suggests
  • rmarkdown * suggests
  • testthat >= 3.0.0 suggests
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