Package: silp 1.0.1

Yi-Hsuan Tseng

silp: Conditional Process Analysis (CPA) via SEM Approach

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, 'omega' = 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. Cheung et al.(2021)<doi:10.1007/s10869-020-09717-0> Hsiao et al.(2018)<doi:10.1177/0013164416679877>.

Authors:Yi-Hsuan Tseng [aut, cre], Po-Hsien Huang [aut]

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-4.5-any)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

On CRAN:

Conda:

3.78 score 2 scripts 141 downloads 4 exports 18 dependencies

Last updated 11 days agofrom:0f57e79dc5. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 11 2025
R-4.5-winOKMar 11 2025
R-4.5-macOKMar 11 2025
R-4.5-linuxOKMar 11 2025
R-4.4-winOKMar 11 2025
R-4.4-macOKMar 11 2025
R-4.4-linuxOKMar 11 2025
R-4.3-winOKMar 11 2025
R-4.3-macOKMar 11 2025

Exports:generate_dataresilpsilpsummary

Dependencies:cligluelatticelavaanlifecyclemagrittrMASSMatrixmnormtnumDerivpbivnormpurrrquadprogrlangsemToolsstringistringrvctrs