Package: silp 1.0.3

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_1.0.3.tar.gz
silp_1.0.3.zip(r-4.7)silp_1.0.3.zip(r-4.6)silp_1.0.3.zip(r-4.5)
silp_1.0.3.tgz(r-4.6-any)silp_1.0.3.tgz(r-4.5-any)
silp_1.0.3.tar.gz(r-4.7-any)silp_1.0.3.tar.gz(r-4.6-any)
silp_1.0.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
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:

2.70 score 2 scripts 191 downloads 4 exports 18 dependencies

Last updated from:02d76a0446. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK121
source / vignettesOK151
linux-release-x86_64OK105
macos-release-arm64OK202
macos-oldrel-arm64OK167
windows-develOK70
windows-releaseOK77
windows-oldrelOK67
wasm-releaseOK105

Exports:generate_dataresilpsilpsummary

Dependencies:cligluelatticelavaanlifecyclemagrittrMASSMatrixmnormtnumDerivpbivnormpurrrquadprogrlangsemToolsstringistringrvctrs