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 629 downloads 1 mentions 9 exports 33 dependencies

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

TargetResultDate
Doc / VignettesOKNov 16 2024
R-4.5-winOKNov 16 2024
R-4.5-linuxOKNov 16 2024
R-4.4-winOKNov 16 2024
R-4.4-macOKNov 16 2024
R-4.3-winOKNov 16 2024
R-4.3-macOKNov 16 2024

Exports:getEffectslong2matrixmatrix2longparCorplot_missingsRRRR.styleRR.summaryselfCor

Dependencies:clicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigplyrR6RColorBrewerRcppreshape2rlangscalesstringistringrtibbleutf8vctrsviridisLitewithr

How to use TripleR (Vignette)

Rendered fromTripleR-knitr.pdf.asisusingR.rsp::asison Nov 16 2024.

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