Add interface for brooks_gelman_plotrows option

src/DynareBison.yy

@@ -101,7 +101,7 @@ class ParsingDriver;
 %token MFS MH_CONF_SIG MH_DROP MH_INIT_SCALE MH_INIT_SCALE_FACTOR MH_JSCALE MH_TUNE_JSCALE MH_TUNE_GUESS MH_POSTERIOR_MODE_ESTIMATION MH_NBLOCKS MH_REPLIC MH_RECOVER MH_INITIALIZE_FROM_PREVIOUS_MCMC MH_INITIALIZE_FROM_PREVIOUS_MCMC_DIRECTORY MH_INITIALIZE_FROM_PREVIOUS_MCMC_RECORD MH_INITIALIZE_FROM_PREVIOUS_MCMC_PRIOR
 %token POSTERIOR_MAX_SUBSAMPLE_DRAWS MIN MINIMAL_SOLVING_PERIODS
 %token MODE_CHECK MODE_CHECK_NEIGHBOURHOOD_SIZE MODE_CHECK_SYMMETRIC_PLOTS MODE_CHECK_NUMBER_OF_POINTS MODE_COMPUTE MODE_FILE MODEL MODEL_COMPARISON MODEL_INFO MSHOCKS ABS SIGN
-%token MODEL_DIAGNOSTICS MODIFIEDHARMONICMEAN MOMENTS_VARENDO CONTEMPORANEOUS_CORRELATION DIFFUSE_FILTER SUB_DRAWS TAPER_STEPS GEWEKE_INTERVAL RAFTERY_LEWIS_QRS RAFTERY_LEWIS_DIAGNOSTICS MCMC_JUMPING_COVARIANCE MOMENT_CALIBRATION
+%token MODEL_DIAGNOSTICS MODIFIEDHARMONICMEAN MOMENTS_VARENDO CONTEMPORANEOUS_CORRELATION DIFFUSE_FILTER SUB_DRAWS TAPER_STEPS GEWEKE_INTERVAL RAFTERY_LEWIS_QRS RAFTERY_LEWIS_DIAGNOSTICS BROOKS_GELMAN_PLOTROWS MCMC_JUMPING_COVARIANCE MOMENT_CALIBRATION
 %token NUMBER_OF_PARTICLES RESAMPLING SYSTEMATIC GENERIC RESAMPLING_THRESHOLD RESAMPLING_METHOD KITAGAWA STRATIFIED SMOOTH
 %token CPF_WEIGHTS AMISANOTRISTANI MURRAYJONESPARSLOW WRITE_EQUATION_TAGS FILTER_INITIAL_STATE
 %token NONLINEAR_FILTER_INITIALIZATION FILTER_ALGORITHM PROPOSAL_APPROXIMATION CUBATURE UNSCENTED MONTECARLO DISTRIBUTION_APPROXIMATION
@@ -2209,6 +2209,7 @@ estimation_options : o_datafile
                    | o_geweke_interval
                    | o_raftery_lewis_qrs
                    | o_raftery_lewis_diagnostics
+                   | o_brooks_gelman_plotrows
                    | o_mcmc_jumping_covariance
                    | o_irf_plot_threshold
                    | o_posterior_max_subsample_draws
@@ -3697,6 +3698,7 @@ o_taper_steps : TAPER_STEPS EQUAL vec_int { driver.option_vec_int("convergence.g
 o_geweke_interval : GEWEKE_INTERVAL EQUAL vec_value { driver.option_vec_value("convergence.geweke.geweke_interval",$3); };
 o_raftery_lewis_diagnostics : RAFTERY_LEWIS_DIAGNOSTICS { driver.option_num("convergence.rafterylewis.indicator", "true"); };
 o_raftery_lewis_qrs : RAFTERY_LEWIS_QRS EQUAL vec_value { driver.option_vec_value("convergence.rafterylewis.qrs",$3); };
+o_brooks_gelman_plotrows: BROOKS_GELMAN_PLOTROWS EQUAL INT_NUMBER { driver.option_num("convergence.brooksgelman.plotrows", $3); };
 o_constant : CONSTANT { driver.option_num("noconstant", "false"); };
 o_noconstant : NOCONSTANT { driver.option_num("noconstant", "true"); };
 o_mh_recover : MH_RECOVER { driver.option_num("mh_recover", "true"); };

src/DynareFlex.ll

@@ -299,6 +299,7 @@ DATE -?[0-9]+([ya]|m([1-9]|1[0-2])|q[1-4])
 <DYNARE_STATEMENT>geweke_interval   {return token::GEWEKE_INTERVAL;}
 <DYNARE_STATEMENT>raftery_lewis_qrs {return token::RAFTERY_LEWIS_QRS;}
 <DYNARE_STATEMENT>raftery_lewis_diagnostics {return token::RAFTERY_LEWIS_DIAGNOSTICS;}
+<DYNARE_STATEMENT>brooks_gelman_plotrows {return token::BROOKS_GELMAN_PLOTROWS;}
 <DYNARE_STATEMENT>graph   		{return token::GRAPH;}
 <DYNARE_STATEMENT>nograph   		{return token::NOGRAPH;}
 <DYNARE_STATEMENT>posterior_graph   		{return token::POSTERIOR_GRAPH;}