NEWS

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IJSE 0.3.4 (2026-10-22)

• Accept an S-by-1 pointwise likelihood matrix from categorical brms models, preserving draw and observation order; reject transposed or multi-column results.
• Reject covariance ARMA extraction, whose brms output contains LOO conditional densities rather than joint likelihood factors. Explicit joint sampling-unit matrices remain supported through ijse_draws().
• Require explicit likelihood matrices for discrete truncated models after detecting a lower-bound normalization discrepancy in brms 2.23.0.
• Reject measurement-error prediction with unsaved latent draws, which brms otherwise resamples. Document conditional versus observed-data likelihoods and missing-response NA rejection.
• Add real fitted-model regressions for the new streaming support and guards.

IJSE 0.3.3

• Reject missing cluster and chain IDs encoded as a used explicit NA factor level.
• Check labeled likelihood blocks against one another when draw rows are unlabeled.
• Avoid an unnecessary first-block mean square that can overflow despite finite centered sampling variance.
• Add regressions and actual weighted Bernoulli/missing-row and nonlinear distributional Gaussian fixtures with direct density checks and draw/block parity.
• Add scale-sensitive independent algebra, joint nonlinear reweighting, metadata, posterior-format and targeted fault-injection audit tools.
• Clarify the plain-matrix transform contract and cross-block row-label validation.
• Load study test helpers before test execution so shuffled runs are independent of top-level expression order.

IJSE 0.3.2

• Preserve named-vector transform row identities and reject detectable draw permutations instead of silently computing covariance against the wrong rows.
• Stabilize normal intervals at confidence levels close to one or zero; keep column labels distinct when percentages coincide at display precision.
• Make display labels unique and retain exact original cluster/chain IDs.
• Repair Gaussian/quantile fixture clustering checks: sampling IDs are saved separately and tests require eight actual clusters rather than accepting NULL.
• Add boundary regressions and preserve correct automatic data-frame row handling.
• Add a package overview, explicit return-field definitions, normalization and alignment rules, published references, and executable no-refit brms examples.
• Add a renderer for HTML and PDF reference manuals from the actual Rd sources.

IJSE 0.3.1

• Expand the introductory vignette and add executable brms and diagnostic tutorials.
• Include two newly fitted synthetic median-regression examples with fitting data and sampling-unit IDs saved separately, plus generation seeds and diagnostics.
• Install standalone R scripts extracted from the tutorial sources, with fresh process verification and a collected PDF/HTML rendering workflow.
• Add regression checks for tutorial fit/row/cluster correspondence and an independent numerical audit of covariance, transformations, blocking and permutation/translation invariance. The numerical R API is unchanged.

IJSE 0.3.0

• Fix chain metadata for posterior data frames with unequal retained chain lengths.
• Add all/posterior/none diagnostic modes and skip discarded diagnostics in IJ_se().
• Retain posterior covariance separately; add vcov(type = "posterior") and a standard influence() accessor for explicitly saved influence values.
• Avoid redundant centering and copying of the selected quantity draws.
• Add a reproducible vignette study with 40,000 exact-posterior simulations, 320 independent posterior-draw audits and 400 actual brms median-regression fits.
• Include study generators, compact results, Monte Carlo uncertainty, fit-attempt accounting and figures. Study simulations are not run during package checks.
• Add regression tests for chain metadata, diagnostic modes and study calculations.

IJSE 0.2.0

• Reject missing cluster IDs instead of silently omitting observations and counting an empty cluster. Reject undefined variances and non-finite inputs.
• Preserve likelihood extraction errors instead of replacing every error with generic save_pars advice.
• Keep IJ_se(fit, cluster_var) as a named-vector compatibility interface.
• Add ijse() and ijse_draws(), full covariance, transformed quantities, explicit parameter/draw selection, optional influence values, and standard S3 methods.
• Add callback likelihood blocks and univariate brms streaming. Aggregate cluster covariance contributions without allocating a draws-by-clusters matrix.
• Report chain stability checks and quantity-level posterior diagnostics.
• Make brms optional for the backend-independent matrix interface.
• Replace placeholder tests with numerical, analytic, and real brms regression tests. Add a vignette, README, reproducible fixture generator, and benchmark.
• Generate explicit exports and correct S3 registration from roxygen source.
• Add the published method citation. Document estimands and inference limits.

IJSE 0.1.2 (2025-07-18)

• Updated the package name
• Optimized code structure

IJSE 0.1.1 (2024-09-26)

• Added a NEWS.md file to track changes to the package.
• Updated example code to include cases for quantile regression on both independent and clustered data.
• Optimized code structure

IJSE 0.1.0 (2024-09-25)

• First submission to CRAN