rsDCM 0.2.0

Robust and sparse group inference

Replaced mode-only inclusion summaries with integrated posterior inclusion probabilities estimated by a registered C++ parallel-tempering sampler.
Added batch-means Monte Carlo standard errors, chain-specific PIPs, acceptance rates, swap rates, and maximum between-chain PIP ranges.
Reworked mode fitting as a multistart generalized EM algorithm with conditional maximization, monotonicity safeguards, stationarity checks, and an nlminb() fallback for covariance-component optimization.
Added conditional Laplace covariance matrices and standard deviations for group coefficients.
Added selectable precision-Cholesky, covariance-Cholesky, and symmetric whitening implementations. Returned weights are explicitly identified as whitening-coordinate diagnostics.
Fixed the residual scale by default for scale identification and added an opt-in free-scale mode with a warning.
Added diagnostics for multistart convergence, objectives, Q-function monotonicity, and fitted covariance components.
Replaced the bundled preliminary NARPS summaries with corrected within- subject PEB summaries for the same 48 participants.

Consolidated the novel method in R/rsDCM.R.
Consolidated MATLAB-ported DCM and PEB functions in R/DCM.R.
Moved the C++ sampler to the standard src/ directory with registered native routines.
Updated manuals, examples, tests, citation information, and the vignette.

Initial release.