sparvaride: Variance Identification in Sparse Factor Analysis

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.

Version:	0.1.0
Depends:	R (≥ 4.1)
Imports:	Rcpp
LinkingTo:	RcppArmadillo, Rcpp
Suggests:	testthat (≥ 3.0.0), knitr, rmarkdown
Published:	2023-03-13
DOI:	10.32614/CRAN.package.sparvaride
Author:	Darjus Hosszejni [aut, cre], Sylvia Frühwirth-Schnatter [ths]
Maintainer:	Darjus Hosszejni <darjus.hosszejni at wu.ac.at>
BugReports:	https://github.com/hdarjus/sparvaride/issues
License:	GPL (≥ 3)
URL:	https://hdarjus.github.io/sparvaride/
NeedsCompilation:	yes
Citation:	sparvaride citation info
Materials:	README
CRAN checks:	sparvaride results

Documentation:

Reference manual:	sparvaride.pdf
Vignettes:	short_intro

Downloads:

Package source:	sparvaride_0.1.0.tar.gz
Windows binaries:	r-devel: sparvaride_0.1.0.zip, r-release: sparvaride_0.1.0.zip, r-oldrel: sparvaride_0.1.0.zip
macOS binaries:	r-release (arm64): sparvaride_0.1.0.tgz, r-oldrel (arm64): sparvaride_0.1.0.tgz, r-release (x86_64): sparvaride_0.1.0.tgz, r-oldrel (x86_64): sparvaride_0.1.0.tgz

Linking:

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