Package: SEMsens 1.5.5

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.

Authors:Walter Leite [aut, cre], Zuchao Shen [aut], Charles Fisk [aut], King Yiu Suen [aut], Katerina Marcoulides [aut], Gail Fish [ctb], YongSeok Lee [ctb], Sanaz Nazari [ctb], Jia Quan [ctb], Eric Wright [ctb], Huibin Zhang [ctb]

SEMsens_1.5.5.tar.gz
SEMsens_1.5.5.zip(r-4.7-any)SEMsens_1.5.5.zip(r-4.6-any)SEMsens_1.5.5.zip(r-4.5-any)
SEMsens_1.5.5.tgz(r-4.6-any)SEMsens_1.5.5.tgz(r-4.5-any)
SEMsens_1.5.5.tar.gz(r-4.7-any)SEMsens_1.5.5.tar.gz(r-4.6-any)
SEMsens_1.5.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
SEMsens/json (API)

# Install 'SEMsens' in R:
install.packages('SEMsens', repos = c('https://leitewl.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.60 score 1 scripts 372 downloads 7 exports 6 dependencies

Last updated from:a04eb62c83. Checks:8 OK, 1 ERROR. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK119
source / vignettesERROR226
linux-releaseOK107
macos-releaseOK163
macos-oldrelOK166
windows-develOK73
windows-releaseOK55
windows-oldrelOK65
wasm-releaseOK85

Exports:gen.neighbors.tabugen.sens.parssa.acosa.sasa.tabusa.tabu.helpersens.tables

Dependencies:lavaanMASSmnormtnumDerivpbivnormquadprog

A 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
SENSITIVITY ANALYSIS USING SEMsens | Step 1 : Load data with names and indicate categorical variables | Step 2: Define the models | Step 3: Identify paths of interest | Step 4: Run sensitivity analysis with the SEMsens package | Step 5: Results | References
Rendered fromSmith19_6phantom3.Rmdusingknitr::rmarkdown

Last update: 2022-08-30
Started: 2021-02-23

A 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
SENSITIVITY ANALYSIS USING SEMsens | Step 1: Original Path Model & Estimation | Step 2: Construct the Sensitivity Model | Step 3: Conducting Sensitivity Analysis | Step 4: Sensitivity Analysis Results | References
Rendered fromSmith12vignette.Rmdusingknitr::rmarkdown

Last update: 2022-06-22
Started: 2021-02-23

A Sensitivity Analysis of Toward a Greater Understanding of How Dissatisfaction Drives Employee Turnover by Peter W. Hom and Angelo J. Kinicki
SENSITIVITY ANALYSIS USING SEMsens | Step 1: Enter the data | Step 2: Define the models | Step 3: Identify paths of interest | Step 4: Sensitivity analysis | Step 5: Results | References
Rendered fromHom-vignette.Rmdusingknitr::rmarkdown

Last update: 2022-06-22
Started: 2021-02-23

Package 'SEMsens'
1. Function sa.aco | An exmaple | 2. Function sens.tables
Rendered fromSEMsens.Rmdusingknitr::rmarkdown

Last update: 2022-06-22
Started: 2020-07-18