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ackwards  

Bass-Ackwards Hierarchical Structural Analysis
View on CRAN: Click here


Download and install ackwards package within the R console
Install from CRAN:
install.packages("ackwards")

Install from Github:
library("remotes")
install_github("cran/ackwards")

Install by package version:
library("remotes")
install_version("ackwards", "0.2.0")



Attach the package and use:
library("ackwards")
Maintained by
Jeffrey M. Girard
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-07-27
Latest Update: 2026-07-27
Description:
Implements Goldberg's (2006) <doi:10.1016/j.jrp.2006.01.001> bass-ackwards method and modern descendants for hierarchical structural analysis. Extracts solutions from 1 to k factors using principal component analysis (PCA), exploratory factor analysis (EFA), or exploratory structural equation modeling (ESEM) engines, then characterizes the hierarchy via between-level factor-score correlations computed via exact linear algebra (Waller, 2007, <doi:10.1016/j.jrp.2006.08.005>) or materialized scores. Includes the Forbes (2023) <doi:10.1037/met0000546> extension for redundancy pruning and all-levels cross-correlations.
How to cite:
Jeffrey M. Girard (2026). ackwards: Bass-Ackwards Hierarchical Structural Analysis. R package version 0.2.0, https://cran.r-project.org/web/packages/ackwards. Accessed 03 Oct. 2026.
Previous versions and publish date:
(2026-07-27 21:30), 0.1.1 (2026-07-24 12:00)
Other packages that cited ackwards R package
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Complete documentation for ackwards
Functions, R codes and Examples using the ackwards R package
Full ackwards package functions and examples
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