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.