CRAN/E | SEMsens

SEMsens

A Tool for Sensitivity Analysis in Structural Equation Modeling

Installation

About

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.

Key Metrics

Version 1.5.5
R ≥ 3.5.0
Published 2022-08-30 658 days ago
Needs compilation? no
License GPL-3
CRAN checks SEMsens results

Downloads

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Last 7 days 49 -17%
Last 30 days 240 -39%
Last 90 days 966 +3%
Last 365 days 3.701 -14%

Maintainer

Maintainer

Walter Leite

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

Material

NEWS
Reference manual
Package source

Vignettes

A Sensitivity Analysis of Toward a Greater Understanding of How Dissatisfaction Drives Employee Turnover by Peter W. Hom and Angelo J. Kinicki
Package 'SEMsens'
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
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

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

SEMsens archive

Depends

R ≥ 3.5.0

Imports

lavaan
stats

Suggests

knitr
rmarkdown