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spifa  

Bayesian Spatial Item Factor Analysis
View on CRAN: Click here


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

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

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



Attach the package and use:
library("spifa")
Maintained by
Erick A. Chacón-Montalván
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-10-22
Latest Update: 2026-10-22
Description:
Fits spatial item factor analysis models for binary responses, following Chacón-Montalván, E. A., Parry, L., Giorgi, E., Torres, P., Orellana, J. D. Y., Moraga, P., and Taylor, B. M. (2025) <doi:10.1214/25-AOAS2072>, using full Bayesian inference via adaptive Metropolis-Hastings within Gibbs sampling and auxiliary variables with a probit link function. The latent factors are modelled as the sum of a predictor effect, a multivariate Gaussian process capturing spatial dependence, and a multivariate non-spatial term, allowing users to fit and predict spatially-referenced constructs such as food insecurity or socioeconomic indices. Standard exploratory and confirmatory item factor analysis are supported as particular cases, simply by dropping the spatial structure.
How to cite:
Erick A. Chacón-Montalván (2026). spifa: Bayesian Spatial Item Factor Analysis. R package version 0.1.0, https://cran.r-project.org/web/packages/spifa. Accessed 25 Oct. 2026.
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Complete documentation for spifa
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Full spifa package functions and examples
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