Package: silp 1.0.1
Yi-Hsuan Tseng
silp: Conditional Process Analysis (CPA) via SEM approach
The "silp" package utilizes the Reliability-Adjusted Product Indicator (RAPI) method to estimate effects among latent variables, thus allowing for more precise definition and analysis of mediation and moderation models. Our simulation studies reveal that while "silp" may exhibit instability with smaller sample sizes and lower reliability scores (e.g., 𝑁 = 100, 𝜔 = 0.7), implementing nearest positive definite matrix correction and bootstrap confidence interval estimation can significantly ameliorate this volatility. When these adjustments are applied, "silp" achieves estimations akin in quality to those derived from LMS. In conclusion, the "silp" package is a valuable tool for researchers seeking to explore complex relational structures between variables without resorting to commercial software.
Authors:
silp_1.0.1.tar.gz
silp_1.0.1.zip(r-4.5)silp_1.0.1.zip(r-4.4)silp_1.0.1.zip(r-4.3)
silp_1.0.1.tgz(r-4.4-any)silp_1.0.1.tgz(r-4.3-any)
silp_1.0.1.tar.gz(r-4.5-noble)silp_1.0.1.tar.gz(r-4.4-noble)
silp_1.0.1.tgz(r-4.4-emscripten)silp_1.0.1.tgz(r-4.3-emscripten)
silp.pdf |silp.html✨
silp/json (API)
NEWS
# Install 'silp' in R: |
install.packages('silp', repos = c('https://tombjjj.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/tombjjj/silp/issues
Last updated 1 months agofrom:6336dcd188. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 15 2024 |
R-4.5-win | OK | Nov 15 2024 |
R-4.5-linux | OK | Nov 15 2024 |
R-4.4-win | OK | Nov 15 2024 |
R-4.4-mac | OK | Nov 15 2024 |
R-4.3-win | OK | Nov 15 2024 |
R-4.3-mac | OK | Nov 15 2024 |
Exports:generate_dataresilpsilpsummary
Dependencies:cligluelatticelavaanlifecyclemagrittrMASSMatrixmnormtnumDerivpbivnormpurrrquadprogrlangsemToolsstringistringrvctrs
Readme and manuals
Help Manual
Help page | Topics |
---|---|
generate_data | generate_data |
resilp | resilp |
silp | silp |
Define silp class | Silp-class |
Methods for Class 'Silp' in Package 'silp' | summary,Silp-method |