SEMsens
A Tool for Sensitivity Analysis in Structural Equation Modeling
Perform sensitivity analysis in structural equation modeling using meta-heuristic optimization methods (e.g., ant colony optimization and others). The references for the proposed methods are: (1) Leite, W., & Shen, Z., Marcoulides, K., Fish, C., & Harring, J. (2022). doi:10.1080/10705511.2021.1881786 (2) Harring, J. R., McNeish, D. M., & Hancock, G. R. (2017) doi:10.1080/10705511.2018.1506925; (3) Fisk, C., Harring, J., Shen, Z., Leite, W., Suen, K., & Marcoulides, K. (2022). doi:10.1177/00131644211073121; (4) Socha, K., & Dorigo, M. (2008) doi:10.1016/j.ejor.2006.06.046. We also thank Dr. Krzysztof Socha for sharing his research on ant colony optimization algorithm with continuous domains and associated R code, which provided the base for the development of this package.
- Version1.5.5
- R version≥ 3.5.0
- LicenseGPL-3
- Needs compilation?No
- Last release08/30/2022
Documentation
- VignetteA Sensitivity Analysis of Toward a Greater Understanding of How Dissatisfaction Drives Employee Turnover by Peter W. Hom and Angelo J. Kinicki
- VignettePackage 'SEMsens'
- VignetteA sensitivity analysis of predicting continued use of online teacher professional development and the influence of social presence and sociability by Jo A. Smith and Stephen A. Sivo
- VignetteA Sensitivity Analysis of a Model for Parenting Risk and Resilience, Social-emotional Readiness, and Reading Achievement in Kindergarten Children from Low-income Families Model by Smith-Adcock, Leite, Kaya and Amatea
- MaterialNEWS
- In ViewsPsychometrics
Team
Walter Leite
MaintainerShow author detailsZuchao Shen
Charles Fisk
Show author detailsRolesAuthorKing Yiu Suen
Show author detailsRolesAuthorKaterina Marcoulides
Show author detailsRolesAuthorGail Fish
Show author detailsRolesContributorYongSeok Lee
Show author detailsRolesContributorSanaz Nazari
Show author detailsRolesContributorJia Quan
Show author detailsRolesContributorEric Wright
Show author detailsRolesContributorHuibin Zhang
Show author detailsRolesContributor
Insights
Last 30 days
This package has been downloaded 657 times in the last 30 days. Not bad! The download count is somewhere between 'small-town buzz' and 'moderate academic conference'. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 34 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 6,238 times in the last 365 days. Impressive! The kind of number that makes colleagues ask, 'How did you do it?' The day with the most downloads was Oct 16, 2024 with 70 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports1 package
- Suggests2 packages