Make compatible the outputs of the online particle filter with the Dynare routines for presenting results + migrate the Online Particle Filter from nonlinear filters to posterior samplers + make it compatible with commit e4953523 (Efficient_drawing). Now require to create an online option for posterior_sampling_method.

Bytecode does not support conditional forecasting with block
decomposition (since the derivatives w.r.t. exogenous are no longer provided by
the preprocessor when doing block decomposition). In practice trying this would
lead to a crash.

[skip ci]

[skip ci]

Make posterior sampling more efficient and enable posterior objects for SMC and DIME

See merge request Dynare/dynare!2318

It comes after a “return” statement.

Keep only the syntax with 3 arguments: plan, dataset, range.

Closes: #1899

Removes unused prior_analysis_endo_var_list option

GetAllPosteriorDraws.m: make routine more efficient by enabling to output full parameters matrix instead of column vectors

Also factorizes loading of record file to obtain MCMC info by moving it into GetAllPosteriorDraws.m

Reverts of Dynare/dynare@5424fde7

moments_varendo and prior_posterior_statistics: account for different paths of various posterior samplers

Incidentally removes persistent variables used in metropolis_draw.m

ep: filter out non-positive definite covariance matrices

See merge request Dynare/dynare!2320

Also use hyperlinks.

[skip ci]

SMC: Add support for generate_trace_plots.m

Closes #1932

See merge request Dynare/dynare!2311

Incidentally:
– fix a bug where path for endogenous after failure to converge was not centered
– ensure that sim1_linear.m is actually tested, by adding a test for
  linear_approximation + stack_solve_algo=0

Ref. #1859

⇒ Generated pseudo-random numbers will not change if we add new unit tests.

Ref. #1859

Ref. #1859

[skip ci]

Ref. !2319