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Created with Raphaël 2.2.06May530Apr29282625151410842128Mar2524181413111096427Feb2019141265331Jan2928272624222117167642128Dec272423181065329Nov28272625232120181514530Oct29242321161514111064227Sep262524232019161312111093230Aug27262318171531Jul29262524232219181615138125Jun20197654331May302823222116151473230Apr29252423221612984226Mar2522191815131274129Feb2826232221201917161514131298752131Jan3029262524232219171612109875328Dec272221[WIP] Fix auxiliary particle filter.nlf-fixesnlf-fixesRewrite resampling routines.Bug fix (unknown variable).Bug fix (computation of PredictedObservedVarianceSquareRoot).Bug fix. The value of the likelihood returned by NLKF (particle filter) was wrong.Increase the number of particles.Make APF (particle filter) compatible with linear models.Make nonlinear Kalman filter compatible with order 1.Add integration test for SIS (particle filter).Remove call to stoch_simul command.Make SIS (particle filter) compatible with linear models.Specialize mod file for linear Kalman filter.Always save initial value of the estimation objective.🐛 Perfect foresight with controlled paths: no longer crash with homotopy_exclude_varexo option and multiple controlled variablesPreprocessor: performance improvement for DynamicModel::removeEquations()Perfect foresight: do not crash when outside the domain of erf, erfc, normcdf, normpdfperfect_foresight_problem MEX: forward exceptions thrown when evaluating the model .m filesFortran MEX interface: improve memory management in mxArrayToString wrapper🐛 perfect_foresight_problem MEX: error mechanism now thread-safeMerge branch 'hank_check_ss_input' of git.dynare.org:normann/dynarePreprocessor updateRemove unused riccati_update MEXHANK: add a routine to check the steady-state inputUpdate preprocessor (particle filters interface).[WIP] Fix auxiliary particle filter.nls-fixesnls-fixes[WIP] Rewrite resampling routines.Bug fix (unknown variable).Bug fix (computation of PredictedObservedVarianceSquareRoot).Bug fix. The value of the likelihood returned by NLKF (particle filter) was wrong.Increase the number of particles.Make APF (particle filter) compatible with linear models.Make nonlinear Kalman filter compatible with order 1.Add integration test for SIS (particle filter).Remove call to stoch_simul command.Make SIS (particle filter) compatible with linear models.Specialize mod file for linear Kalman filter.Always save initial value of the estimation objective.Merge branch 'slice_identification' into 'master':bug: identification: shut off slice_initialize_with_mode option with slice to prevent crashPreprocessor update