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sparvaride  

Variance Identification in Sparse Factor Analysis
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("sparvaride", "0.1.0")



Attach the package and use:
library("sparvaride")
Maintained by
Darjus Hosszejni
[Scholar Profile | Author Map]
First Published: 2023-03-13
Latest Update: 2023-03-13
Description:
This is an implementation of the algorithm described in Section 3 of Hosszejni and Frühwirth-Schnatter (2022) <doi:10.48550/arXiv.2211.00671>. The algorithm is used to verify that the counting rule CR(r,1) holds for the sparsity pattern of the transpose of a factor loading matrix. As detailed in Section 2 of the same paper, if CR(r,1) holds, then the idiosyncratic variances are generically identified. If CR(r,1) does not hold, then we do not know whether the idiosyncratic variances are identified or not.
How to cite:
Darjus Hosszejni (2023). sparvaride: Variance Identification in Sparse Factor Analysis. R package version 0.1.0, https://cran.r-project.org/web/packages/sparvaride. Accessed 29 Mar. 2025.
Previous versions and publish date:
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Complete documentation for sparvaride
Functions, R codes and Examples using the sparvaride R package
Some associated functions: counting_rule_holds . 
Some associated R codes: RcppExports.R . sparvaride.R .  Full sparvaride package functions and examples
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