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2025-04-14

Herunterladbarer Quellcode für die GUI-Methode (MCP-S-Agage Graphical User Interface) für die Schätzung des subadulten Skelettalters.

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MCP-S-Age

MCP-S-Age is a graphical user interface (GUI) to provide methods of subadult skeletal age estimation using the mixed-cumulative-probit algorithm.

This application is one product of the research of Kyra Stull, PhD (http://www.kyrastull.weebly.com), an Assistant Professor in the Department of Anthropology at the University of Nevada, Reno. Associated citations / articles are linked at the bottom of this document.

Please cite this application as:

Stull, Kyra E., & Chu, Elaine Y. (2022). MCP-S-Age: a GUI to estimate age from subadult remains (vx.x.x). DOI

The online version of MCP-S-Age is available at: https://kyra-stull.shinyapps.io/MCP-S-Age

Installation

To access MCP-S-Age offline, copy ("clone") this repository using one of the following two methods:

  1. Access the repository through a terminal system by typing the following code:
cd "file/path/to/desired/repository/location"
git clone https://github.com/ElaineYChu/MCP-S-Age
  1. Download the repository as a zipped file by clicking the green "CODE" button on the top-right side and select 'Download ZIP'

Usage

TO RUN MCP-S-Age IN RSTUDIO:

  1. Locate the "mcp-s-age" folder in your system and the file called "ui.R".
  2. Open the file with RStudio.
  3. Locate and press the "Run App" button at the top-right corner of the "ui.R" script.

TO RUN MCP-S-Age IN BASE R

  1. Set the working directory
setwd("file/path/to/mcp-s-age")  # set working directory
  1. Run the application
shiny::runApp()  # run MCP-S-Age

MCP-S-Age requires R version 3.2.1 or higher and will require the following packages in your local R system:

  • shiny
  • shinydashboard
  • shinyjs
  • tidyverse
  • rmarkdown
  • stringr
  • doParallel
  • yada

Please make sure that all of these packages are installed in your local system before starting.

Relevant Publications

Stull, Kyra E., Chu, Elaine Y., Corron, Louise K., Price, Michael H. (2023). Mixed Cumulative Probit: A multivariate generalization of transition analysis that accommodates variation in the shape, spread, and structure of data. Royal Society Open Science 10: 220963.

Stull, K.E.; Chu, E.Y.; Corron, L.K.; Price, M.H. (2022). Subadult Age Estimation Using the Mixed Cumulative Probit and a Contemporary United States Population. Forensic. Sci. 2, 741-779. https://doi.org/10.3390/xxxxx

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    Reviews

    2 (1)
    Avatar
    user_mD4AmjAV
    2025-04-24

    I recently started using MCP-S-Age by ElaineYChu and it has been a game-changer! The intuitive design and seamless functionality make it an essential tool in my daily applications. This product has significantly enhanced my workflow, and I highly recommend it to anyone looking to improve their efficiency.