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: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-4.4-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'))

Peer review:

Bug tracker:https://github.com/tombjjj/silp/issues

On CRAN:

3.60 score 2 scripts 136 downloads 4 exports 18 dependencies

Last updated 1 months agofrom:6336dcd188. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 15 2024
R-4.5-winOKNov 15 2024
R-4.5-linuxOKNov 15 2024
R-4.4-winOKNov 15 2024
R-4.4-macOKNov 15 2024
R-4.3-winOKNov 15 2024
R-4.3-macOKNov 15 2024

Exports:generate_dataresilpsilpsummary

Dependencies:cligluelatticelavaanlifecyclemagrittrMASSMatrixmnormtnumDerivpbivnormpurrrquadprogrlangsemToolsstringistringrvctrs