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semTests 0.9.0

A major release on two fronts: semTests now has a self-contained numerical core with a minimal dependency footprint (Imports is just lavaan and the base methods package), and the eigenvalue-based p-values have been broadened well beyond normal-theory ML (see ?semTests-support).

• Fixed compatibility with lavaan 0.7-1, in which lavaan::lavTest() returns a named list of test results rather than a single flat object (the reweighted least squares chi-square statistic was previously read as NULL). The statistic is now extracted in a way that works with both old and new lavaan return structures.
• The eigenvalue-based p-values no longer depend on CompQuadForm. The upper tail of the quadratic form sum lambda_j chi^2_1 is computed internally by imhof_pvalue(), which is more accurate in the tail, where CompQuadForm degrades (its imhof returns quadrature noise, including negative probabilities, once the p-value drops below roughly 1e-6, and davies underflows to zero). Positive spectra use Ruben’s series (exact to machine precision, including the tail); mixed-sign spectra use the Imhof integral in the body with a Lugannani-Rice saddlepoint fallback in the tail.
• Nested tests now read the reference spectrum from the reduced m x m restriction-space matrix instead of the full q x q UGamma, where m is the number of restrictions. The result is identical to machine precision but faster on large models, and it removes the need for RSpectra.
• Replaced the internal use of MASS::ginv with a self-contained generalized_inverse().
• Removed the unused internal bootstrap helpers.
• Dropped the CompQuadForm, Matrix, MASS, RSpectra, progressr, and future.apply dependencies, plus the psych suggestion (examples now use the built-in HolzingerSwineford1939 data). Imports is now lavaan and methods.
• Broadened the eigenvalue-based p-values beyond normal-theory ML. pvalues() now supports GLS, ULS, and categorical WLSMV/DWLS in addition to ML/MLM/MLR, plus FIML missing-data fits (single-group, continuous); pvalues_nested() supports the continuous estimators and nested FIML comparison (method = "2000"). See ?semTests-support. This broadened support is experimental; the classical normal-theory ML path remains stable.
• Added entry-point validation with clear messages pointing at ?semTests-support: non-lavaan objects, unsupported estimators, unsupported missing-data modes, multi-group / fixed-exogenous FIML, the normal-theory-only RLS statistic and the Du-Bentler UG gamma off the classical case, and categorical nested tests are now refused up front.
• The returned value is now a semTests_pvalues object that records the options actually used (estimator, statistic, information type, gamma type, data type, degrees of freedom) and prints a one-line provenance footer.
• Added a semTests vignette and an inst/CITATION.
• Documentation fixes and a substantially expanded test suite.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.