Package: TripleR 1.5.4

TripleR: Social Relation Model (SRM) Analyses for Single or Multiple Groups

Social Relation Model (SRM) analyses for single or multiple round-robin groups are performed. These analyses are either based on one manifest variable, one latent construct measured by two manifest variables, two manifest variables and their bivariate relations, or two latent constructs each measured by two manifest variables. Within-group t-tests for variance components and covariances are provided for single groups. For multiple groups two types of significance tests are provided: between-groups t-tests (as in SOREMO) and enhanced standard errors based on Lashley and Bond (1997) <doi:10.1037/1082-989X.2.3.278>. Handling for missing values is provided.

Authors:F. D. Schönbrodt, M. D. Back, S. C. Schmukle

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TripleR.pdf |TripleR.html
TripleR/json (API)
NEWS

# Install 'TripleR' in R:
install.packages('TripleR', repos = c('https://nicebread.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

3.42 score 1 packages 87 scripts 615 downloads 1 mentions 9 exports 33 dependencies

Last updated 3 years agofrom:21d098f7cd. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 17 2024
R-4.5-winOKOct 17 2024
R-4.5-linuxOKOct 17 2024
R-4.4-winOKOct 17 2024
R-4.4-macOKOct 17 2024
R-4.3-winOKOct 17 2024
R-4.3-macOKOct 17 2024

Exports:getEffectslong2matrixmatrix2longparCorplot_missingsRRRR.styleRR.summaryselfCor

Dependencies:clicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigplyrR6RColorBrewerRcppreshape2rlangscalesstringistringrtibbleutf8vctrsviridisLitewithr

How to use TripleR (Vignette)

Rendered fromTripleR-knitr.pdf.asisusingR.rsp::asison Oct 17 2024.

Last update: 2022-04-26
Started: 2022-04-26