IJSE: Infinitesimal Jackknife Standard Errors for 'brms' Models

Computes infinitesimal jackknife standard errors and covariance matrices for posterior expectations from 'brms' models or matched posterior draws and pointwise log likelihoods. Supports independent and clustered sampling units, transformed quantities, blockwise likelihood evaluation, and chain stability diagnostics. References: Ji et al. (2026) <doi:10.3102/10769986251379738>; Giordano and Broderick (2024) <doi:10.48550/arXiv.2305.06466>.

Version:	0.3.4
Depends:	R (≥ 3.5.0)
Imports:	posterior (≥ 1.4.0), stats
Suggests:	brms (≥ 2.20.0), testthat (≥ 3.0.0), knitr, rmarkdown, ggplot2 (≥ 3.4.0)
Published:	2026-10-22
DOI:	10.32614/CRAN.package.IJSE
Author:	Feng Ji [aut, cre], JoonHo Lee [aut], Sophia Rabe-Hesketh [aut]
Maintainer:	Feng Ji <f.ji at utoronto.ca>
License:	MIT + file LICENSE
NeedsCompilation:	no
Citation:	IJSE citation info
Materials:	README, NEWS
CRAN checks:	IJSE results

Documentation:

Reference manual:	IJSE.html , IJSE.pdf
Vignettes:	Tutorial 2: brms, Clusters and Joint Contrasts (source, R code) Tutorial 3: Diagnostics, Influence and Troubleshooting (source, R code) Infinitesimal Jackknife Inference with IJSE: A Reproducible Vignette Study (source, R code) Tutorial 1: Getting Started with IJSE (source, R code)

Downloads:

Package source:	IJSE_0.3.4.tar.gz
Windows binaries:	r-devel: IJSE_0.1.2.zip, r-release: IJSE_0.1.2.zip, r-oldrel: IJSE_0.3.4.zip
macOS binaries:	r-release (arm64): IJSE_0.3.4.tgz, r-oldrel (arm64): IJSE_0.3.4.tgz, r-release (x86_64): IJSE_0.3.4.tgz, r-oldrel (x86_64): IJSE_0.3.4.tgz
Old sources:	IJSE archive

Linking:

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