New version: TermStructureModels v0.6.2

[JuliaRegistrator]

• Registering package: TermStructureModels
• Repository: https://github.com/econPreference/TermStructureModels.jl
• Created by: @econPreference
• Version: v0.6.2
• Commit: cec316ee02ad492ca787feab57450adda8dd9dbf
• Reviewed by: @econPreference
• Reference: econPreference/TermStructureModels.jl@cec316e#commitcomment-200091755
• Description: Bayesian estimation of no-arbitrage affine term structure models in Julia
• Release notes:

Added decomp_yields and decomp_macros to term_premium for decomposing other yield datasets while keeping the estimated model fixed (p=1).
Added yields_est to forecasting functions so forecast histories can differ from estimation data.
Reworked JSZ kappaQ sampling using a tailored independent MH proposal based on a joint Student t approximation, with optimized initialization.
Added proposal_NM_maxiter=0: values greater than 0 enable Nelder-Mead before LBFGS and control its maximum iterations, helping improve the starting point when proposal optimization performs poorly.
Fixed AFNS prior weighting, NUTS state updates and warmup handling, prior variance scaling, prior density calculations, and macro-variable variance updates.
Corrected PCA sample alignment and EH/TP forecasting, including forecasts extending beyond the scenario horizon.
Generalized hard-coded parameter transformations and aligned the lower bound for nu0 across optimization methods.
Added proposal preparation progress messages and clarified input documentation.
Updated NUTS integration for Turing 0.48. Removed the kappaQ_proposal_mode and proposal_time_limit keywords.

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[econPreference]

Please close this PR. Version 0.6.3 has already been registered through #167943, so this 0.6.2 registration is no longer needed. Sorry for the confusion.