/*
  midas_dlg_bayesplot.dlg — MCMC diagnostic plots
  Version 1.0.0  30mar2026
  Author: Ben Adarkwa Dwamena, MD
  
  Post-estimation command: requires prior midas mh or midas hmc
*/

VERSION 16.0

POSITION . . 380 250

DIALOG main, title("MIDAS — MCMC Diagnostic Plots")
BEGIN
  TEXT     tx_header  10  10 360  ., label("midas bayesplot — Trace, density, ACF, Gelman-Rubin")
  TEXT     tx_note    10  30 360  ., label("Requires prior midas mh or midas hmc estimation")

  GROUPBOX gb_opts   10  55 360 100, label("Options")
  CHECKBOX ck_trace   20  75 100  ., label("Trace") default(1)
  CHECKBOX ck_dens   125  75 100  ., label("Density") default(1)
  CHECKBOX ck_acf    230  75 100  ., label("ACF") default(1)

  CHECKBOX ck_all     20 100 100  ., label("All (default)")  default(1)
  CHECKBOX ck_comb   125 100 150  ., label("Combine chains")

  TEXT     tx_save    20 130  80  ., label("Save stub:")
  EDIT     ed_save   105 130 250  .,                                           ///
           tooltip("Filename stub for saving individual plots")

  GROUPBOX gb_params 10 165 360  40, label("Parameters (blank = all)")
  EDIT     ed_params  20 183 340  .,                                           ///
           tooltip("Space-separated parameter names, e.g. logitsen logitspe")
END

HELP hlp1, view("help midas_bayesplot")
OK ok1, label("OK")
CANCEL can1, label("Cancel")
SUBMIT sub1, label("Submit")

PROGRAM command
BEGIN
  put "midas bayesplot"
  if main.ed_params {
    put ", params(" main.ed_params ")"
  }
  if main.ck_comb {
    put " combine"
  }
  if main.ed_save {
    put `" savegraph(""'
    put main.ed_save
    put `"")"'
  }
END