BayesXShinyApp:

.onLoad <- function(libname, pkgname) {
  require(whisker)

  # ---- univariate example ----
  #
  template <- "family=dagum,hlevel=1,equationtype=a,term=const x1 ,filetype=linear,pathsamples={{prg_path}}/yreg_MAIN_a_REGRESSION_y_LinearEffects_sample.raw,pathbasis=
  family=dagum,hlevel=1,equationtype=a,term=sx(x2),filetype=nonlinear,pathsamples={{prg_path}}/yreg_MAIN_a_REGRESSION_y_nonlinear_pspline_effect_of_x2_sample.raw,pathbasis={{prg_path}}/yreg_MAIN_a_REGRESSION_y_nonlinear_pspline_effect_of_x2_basisR.res,pathvarsample={{prg_path}}/yreg_MAIN_a_REGRESSION_y_variance_of_nonlinear_pspline_effect_of_x2_sample.raw
  predict={{prg_path}}/yreg_MAIN_a_REGRESSION_y_predict.res;
  DIC={{prg_path}}/yreg_MAIN_a_REGRESSION_y_predict_DIC.res;
  family=dagum,hlevel=1,equationtype=b,term=const x1 ,filetype=linear,pathsamples={{prg_path}}/yreg_MAIN_b_REGRESSION_y_LinearEffects_sample.raw,pathbasis=
  family=dagum,hlevel=1,equationtype=b,term=sx(x2),filetype=nonlinear,pathsamples={{prg_path}}/yreg_MAIN_b_REGRESSION_y_nonlinear_pspline_effect_of_x2_sample.raw,pathbasis={{prg_path}}/yreg_MAIN_b_REGRESSION_y_nonlinear_pspline_effect_of_x2_basisR.res,pathvarsample={{prg_path}}/yreg_MAIN_b_REGRESSION_y_variance_of_nonlinear_pspline_effect_of_x2_sample.raw
  family=dagum,hlevel=1,equationtype=p,term=const ,filetype=linear,pathsamples={{prg_path}}/yreg_MAIN_p_REGRESSION_y_LinearEffects_sample.raw,pathbasis=
  "

  prg_path <- system.file("examples/univariate", package = "BayesXShinyApp")
  rendered <- whisker.render(template, list(prg_path = prg_path))

  writeLines(rendered, paste0(prg_path, "/yreg_R.r"))


  # ---- bivariate example ----
  #
  template <- "family=bivnormal,hlevel=1,equationtype=mu,term=const csex ctwin munemployed motorcycle mreligion2 mreligion3 mreligion4 mreligion5 electricity radio television refrigerator bicycle car ,filetype=linear,pathsamples={{prg_path}}/NV_s1_di_ca_me_mb_br_ma_s2_di_ca_mb_br_rho_ca_di_ma_br_MAIN_mu_REGRESSION_stunting2_LinearEffects_sample.raw,pathbasis=
  family=bivnormal,hlevel=1,equationtype=mu,term=sx(cage),filetype=nonlinear,pathsamples={{prg_path}}/NV_s1_di_ca_me_mb_br_ma_s2_di_ca_mb_br_rho_ca_di_ma_br_MAIN_mu_REGRESSION_stunting2_nonlinear_pspline_effect_of_cage_sample.raw,pathbasis={{prg_path}}/NV_s1_di_ca_me_mb_br_ma_s2_di_ca_mb_br_rho_ca_di_ma_br_MAIN_mu_REGRESSION_stunting2_nonlinear_pspline_effect_of_cage_basisR.res,pathvarsample={{path}}/NV_s1_di_ca_me_mb_br_ma_s2_di_ca_mb_br_rho_ca_di_ma_br_MAIN_mu_REGRESSION_stunting2_variance_of_nonlinear_pspline_effect_of_cage_sample.raw
  family=bivnormal,hlevel=1,equationtype=mu,term=sx(breastfeeding),filetype=nonlinear,pathsamples={{prg_path}}/NV_s1_di_ca_me_mb_br_ma_s2_di_ca_mb_br_rho_ca_di_ma_br_MAIN_mu_REGRESSION_stunting2_nonlinear_pspline_effect_of_breastfeeding_sample.raw,pathbasis={{prg_path}}/NV_s1_di_ca_me_mb_br_ma_s2_di_ca_mb_br_rho_ca_di_ma_br_MAIN_mu_REGRESSION_stunting2_nonlinear_pspline_effect_of_breastfeeding_basisR.res,pathvarsample={{path}}/NV_s1_di_ca_me_mb_br_ma_s2_di_ca_mb_br_rho_ca_di_ma_br_MAIN_mu_REGRESSION_stunting2_variance_of_nonlinear_pspline_effect_of_breastfeeding_sample.raw
  family=bivnormal,hlevel=1,equationtype=mu,term=sx(mbmi),filetype=nonlinear,pathsamples={{prg_path}}/NV_s1_di_ca_me_mb_br_ma_s2_di_ca_mb_br_rho_ca_di_ma_br_MAIN_mu_REGRESSION_stunting2_nonlinear_pspline_effect_of_mbmi_sample.raw,pathbasis={{prg_path}}/NV_s1_di_ca_me_mb_br_ma_s2_di_ca_mb_br_rho_ca_di_ma_br_MAIN_mu_REGRESSION_stunting2_nonlinear_pspline_effect_of_mbmi_basisR.res,pathvarsample={{path}}/NV_s1_di_ca_me_mb_br_ma_s2_di_ca_mb_br_rho_ca_di_ma_br_MAIN_mu_REGRESSION_stunting2_variance_of_nonlinear_pspline_effect_of_mbmi_sample.raw
  family=bivnormal,hlevel=1,equationtype=mu,term=sx(mage),filetype=nonlinear,pathsamples={{prg_path}}/NV_s1_di_ca_me_mb_br_ma_s2_di_ca_mb_br_rho_ca_di_ma_br_MAIN_mu_REGRESSION_stunting2_nonlinear_pspline_effect_of_mage_sample.raw,pathbasis={{prg_path}}/NV_s1_di_ca_me_mb_br_ma_s2_di_ca_mb_br_rho_ca_di_ma_br_MAIN_mu_REGRESSION_stunting2_nonlinear_pspline_effect_of_mage_basisR.res,pathvarsample={{path}}/NV_s1_di_ca_me_mb_br_ma_s2_di_ca_mb_br_rho_ca_di_ma_br_MAIN_mu_REGRESSION_stunting2_variance_of_nonlinear_pspline_effect_of_mage_sample.raw
  family=bivnormal,hlevel=1,equationtype=mu,term=sx(medu),filetype=nonlinear,pathsamples={{prg_path}}/NV_s1_di_ca_me_mb_br_ma_s2_di_ca_mb_br_rho_ca_di_ma_br_MAIN_mu_REGRESSION_stunting2_nonlinear_pspline_effect_of_medu_sample.raw,pathbasis={{prg_path}}/NV_s1_di_ca_me_mb_br_ma_s2_di_ca_mb_br_rho_ca_di_ma_br_MAIN_mu_REGRESSION_stunting2_nonlinear_pspline_effect_of_medu_basisR.res,pathvarsample={{path}}/NV_s1_di_ca_me_mb_br_ma_s2_di_ca_mb_br_rho_ca_di_ma_br_MAIN_mu_REGRESSION_stunting2_variance_of_nonlinear_pspline_effect_of_medu_sample.raw
  family=bivnormal,hlevel=1,equationtype=mu,term=sx(edupartner),filetype=nonlinear,pathsamples={{prg_path}}/NV_s1_di_ca_me_mb_br_ma_s2_di_ca_mb_br_rho_ca_di_ma_br_MAIN_mu_REGRESSION_stunting2_nonlinear_pspline_effect_of_edupartner_sample.raw,pathbasis={{prg_path}}/NV_s1_di_ca_me_mb_br_ma_s2_di_ca_mb_br_rho_ca_di_ma_br_MAIN_mu_REGRESSION_stunting2_nonlinear_pspline_effect_of_edupartner_basisR.res,pathvarsample={{path}}/NV_s1_di_ca_me_mb_br_ma_s2_di_ca_mb_br_rho_ca_di_ma_br_MAIN_mu_REGRESSION_stunting2_variance_of_nonlinear_pspline_effect_of_edupartner_sample.raw
  family=bivnormal,hlevel=1,equationtype=mu,term=sx(distH),filetype=nonlinear,pathsamples={{prg_path}}/NV_s1_di_ca_me_mb_br_ma_s2_di_ca_mb_br_rho_ca_di_ma_br_MAIN_mu_REGRESSION_stunting2_spatial_MRF_effect_of_distH_sample.raw,pathbasis={{prg_path}}/NV_s1_di_ca_me_mb_br_ma_s2_di_ca_mb_br_rho_ca_di_ma_br_MAIN_mu_REGRESSION_stunting2_spatial_MRF_effect_of_distH_basisR.res,pathvarsample={{path}}/NV_s1_di_ca_me_mb_br_ma_s2_di_ca_mb_br_rho_ca_di_ma_br_MAIN_mu_REGRESSION_stunting2_variance_of_spatial_MRF_effect_of_distH_sample.raw
  predict={{prg_path}}/NV_s1_di_ca_me_mb_br_ma_s2_di_ca_mb_br_rho_ca_di_ma_br_MAIN_mu_REGRESSION_stunting2_predict.res;
  DIC={{prg_path}}/NV_s1_di_ca_me_mb_br_ma_s2_di_ca_mb_br_rho_ca_di_ma_br_MAIN_mu_REGRESSION_stunting2_predict_DIC.res;
  family=bivnormal,hlevel=1,equationtype=mu,term=const csex ctwin munemployed motorcycle mreligion2 mreligion3 mreligion4 mreligion5 electricity radio television refrigerator bicycle car ,filetype=linear,pathsamples={{prg_path}}/NV_s1_di_ca_me_mb_br_ma_s2_di_ca_mb_br_rho_ca_di_ma_br_MAIN_mu_REGRESSION_wasting2_LinearEffects_sample.raw,pathbasis=
  family=bivnormal,hlevel=1,equationtype=mu,term=sx(cage),filetype=nonlinear,pathsamples={{prg_path}}/NV_s1_di_ca_me_mb_br_ma_s2_di_ca_mb_br_rho_ca_di_ma_br_MAIN_mu_REGRESSION_wasting2_nonlinear_pspline_effect_of_cage_sample.raw,pathbasis={{prg_path}}/NV_s1_di_ca_me_mb_br_ma_s2_di_ca_mb_br_rho_ca_di_ma_br_MAIN_mu_REGRESSION_wasting2_nonlinear_pspline_effect_of_cage_basisR.res,pathvarsample={{prg_path}}/NV_s1_di_ca_me_mb_br_ma_s2_di_ca_mb_br_rho_ca_di_ma_br_MAIN_mu_REGRESSION_wasting2_variance_of_nonlinear_pspline_effect_of_cage_sample.raw
  family=bivnormal,hlevel=1,equationtype=mu,term=sx(breastfeeding),filetype=nonlinear,pathsamples={{prg_path}}/NV_s1_di_ca_me_mb_br_ma_s2_di_ca_mb_br_rho_ca_di_ma_br_MAIN_mu_REGRESSION_wasting2_nonlinear_pspline_effect_of_breastfeeding_sample.raw,pathbasis={{prg_path}}/NV_s1_di_ca_me_mb_br_ma_s2_di_ca_mb_br_rho_ca_di_ma_br_MAIN_mu_REGRESSION_wasting2_nonlinear_pspline_effect_of_breastfeeding_basisR.res,pathvarsample={{prg_path}}/NV_s1_di_ca_me_mb_br_ma_s2_di_ca_mb_br_rho_ca_di_ma_br_MAIN_mu_REGRESSION_wasting2_variance_of_nonlinear_pspline_effect_of_breastfeeding_sample.raw
  family=bivnormal,hlevel=1,equationtype=mu,term=sx(mbmi),filetype=nonlinear,pathsamples={{prg_path}}/NV_s1_di_ca_me_mb_br_ma_s2_di_ca_mb_br_rho_ca_di_ma_br_MAIN_mu_REGRESSION_wasting2_nonlinear_pspline_effect_of_mbmi_sample.raw,pathbasis={{prg_path}}/NV_s1_di_ca_me_mb_br_ma_s2_di_ca_mb_br_rho_ca_di_ma_br_MAIN_mu_REGRESSION_wasting2_nonlinear_pspline_effect_of_mbmi_basisR.res,pathvarsample={{prg_path}}/NV_s1_di_ca_me_mb_br_ma_s2_di_ca_mb_br_rho_ca_di_ma_br_MAIN_mu_REGRESSION_wasting2_variance_of_nonlinear_pspline_effect_of_mbmi_sample.raw
  family=bivnormal,hlevel=1,equationtype=mu,term=sx(mage),filetype=nonlinear,pathsamples={{prg_path}}/NV_s1_di_ca_me_mb_br_ma_s2_di_ca_mb_br_rho_ca_di_ma_br_MAIN_mu_REGRESSION_wasting2_nonlinear_pspline_effect_of_mage_sample.raw,pathbasis={{prg_path}}/NV_s1_di_ca_me_mb_br_ma_s2_di_ca_mb_br_rho_ca_di_ma_br_MAIN_mu_REGRESSION_wasting2_nonlinear_pspline_effect_of_mage_basisR.res,pathvarsample={{prg_path}}/NV_s1_di_ca_me_mb_br_ma_s2_di_ca_mb_br_rho_ca_di_ma_br_MAIN_mu_REGRESSION_wasting2_variance_of_nonlinear_pspline_effect_of_mage_sample.raw
  family=bivnormal,hlevel=1,equationtype=mu,term=sx(medu),filetype=nonlinear,pathsamples={{prg_path}}/NV_s1_di_ca_me_mb_br_ma_s2_di_ca_mb_br_rho_ca_di_ma_br_MAIN_mu_REGRESSION_wasting2_nonlinear_pspline_effect_of_medu_sample.raw,pathbasis={{prg_path}}/NV_s1_di_ca_me_mb_br_ma_s2_di_ca_mb_br_rho_ca_di_ma_br_MAIN_mu_REGRESSION_wasting2_nonlinear_pspline_effect_of_medu_basisR.res,pathvarsample={{prg_path}}/NV_s1_di_ca_me_mb_br_ma_s2_di_ca_mb_br_rho_ca_di_ma_br_MAIN_mu_REGRESSION_wasting2_variance_of_nonlinear_pspline_effect_of_medu_sample.raw
  family=bivnormal,hlevel=1,equationtype=mu,term=sx(edupartner),filetype=nonlinear,pathsamples={{prg_path}}/NV_s1_di_ca_me_mb_br_ma_s2_di_ca_mb_br_rho_ca_di_ma_br_MAIN_mu_REGRESSION_wasting2_nonlinear_pspline_effect_of_edupartner_sample.raw,pathbasis={{prg_path}}/NV_s1_di_ca_me_mb_br_ma_s2_di_ca_mb_br_rho_ca_di_ma_br_MAIN_mu_REGRESSION_wasting2_nonlinear_pspline_effect_of_edupartner_basisR.res,pathvarsample={{prg_path}}/NV_s1_di_ca_me_mb_br_ma_s2_di_ca_mb_br_rho_ca_di_ma_br_MAIN_mu_REGRESSION_wasting2_variance_of_nonlinear_pspline_effect_of_edupartner_sample.raw
  family=bivnormal,hlevel=1,equationtype=mu,term=sx(distH3),filetype=nonlinear,pathsamples={{prg_path}}/NV_s1_di_ca_me_mb_br_ma_s2_di_ca_mb_br_rho_ca_di_ma_br_MAIN_mu_REGRESSION_wasting2_spatial_MRF_effect_of_distH3_sample.raw,pathbasis={{prg_path}}/NV_s1_di_ca_me_mb_br_ma_s2_di_ca_mb_br_rho_ca_di_ma_br_MAIN_mu_REGRESSION_wasting2_spatial_MRF_effect_of_distH3_basisR.res,pathvarsample={{prg_path}}/NV_s1_di_ca_me_mb_br_ma_s2_di_ca_mb_br_rho_ca_di_ma_br_MAIN_mu_REGRESSION_wasting2_variance_of_spatial_MRF_effect_of_distH3_sample.raw
  family=bivnormal,hlevel=1,equationtype=sigma,term=const csex ctwin munemployed motorcycle mreligion2 mreligion3 mreligion4 mreligion5 electricity radio television refrigerator bicycle car ,filetype=linear,pathsamples={{prg_path}}/NV_s1_di_ca_me_mb_br_ma_s2_di_ca_mb_br_rho_ca_di_ma_br_MAIN_sigma_REGRESSION_stunting2_LinearEffects_sample.raw,pathbasis=
  family=bivnormal,hlevel=1,equationtype=sigma,term=sx(distH5),filetype=nonlinear,pathsamples={{prg_path}}/NV_s1_di_ca_me_mb_br_ma_s2_di_ca_mb_br_rho_ca_di_ma_br_MAIN_sigma_REGRESSION_stunting2_spatial_MRF_effect_of_distH5_sample.raw,pathbasis={{prg_path}}/NV_s1_di_ca_me_mb_br_ma_s2_di_ca_mb_br_rho_ca_di_ma_br_MAIN_sigma_REGRESSION_stunting2_spatial_MRF_effect_of_distH5_basisR.res,pathvarsample={{prg_path}}/NV_s1_di_ca_me_mb_br_ma_s2_di_ca_mb_br_rho_ca_di_ma_br_MAIN_sigma_REGRESSION_stunting2_variance_of_spatial_MRF_effect_of_distH5_sample.raw
  family=bivnormal,hlevel=1,equationtype=sigma,term=sx(cage),filetype=nonlinear,pathsamples={{prg_path}}/NV_s1_di_ca_me_mb_br_ma_s2_di_ca_mb_br_rho_ca_di_ma_br_MAIN_sigma_REGRESSION_stunting2_nonlinear_pspline_effect_of_cage_sample.raw,pathbasis={{prg_path}}/NV_s1_di_ca_me_mb_br_ma_s2_di_ca_mb_br_rho_ca_di_ma_br_MAIN_sigma_REGRESSION_stunting2_nonlinear_pspline_effect_of_cage_basisR.res,pathvarsample={{prg_path}}/NV_s1_di_ca_me_mb_br_ma_s2_di_ca_mb_br_rho_ca_di_ma_br_MAIN_sigma_REGRESSION_stunting2_variance_of_nonlinear_pspline_effect_of_cage_sample.raw
  family=bivnormal,hlevel=1,equationtype=sigma,term=sx(medu),filetype=nonlinear,pathsamples={{prg_path}}/NV_s1_di_ca_me_mb_br_ma_s2_di_ca_mb_br_rho_ca_di_ma_br_MAIN_sigma_REGRESSION_stunting2_nonlinear_pspline_effect_of_medu_sample.raw,pathbasis={{prg_path}}/NV_s1_di_ca_me_mb_br_ma_s2_di_ca_mb_br_rho_ca_di_ma_br_MAIN_sigma_REGRESSION_stunting2_nonlinear_pspline_effect_of_medu_basisR.res,pathvarsample={{prg_path}}/NV_s1_di_ca_me_mb_br_ma_s2_di_ca_mb_br_rho_ca_di_ma_br_MAIN_sigma_REGRESSION_stunting2_variance_of_nonlinear_pspline_effect_of_medu_sample.raw
  family=bivnormal,hlevel=1,equationtype=sigma,term=sx(breastfeeding),filetype=nonlinear,pathsamples={{prg_path}}/NV_s1_di_ca_me_mb_br_ma_s2_di_ca_mb_br_rho_ca_di_ma_br_MAIN_sigma_REGRESSION_stunting2_nonlinear_pspline_effect_of_breastfeeding_sample.raw,pathbasis={{prg_path}}/NV_s1_di_ca_me_mb_br_ma_s2_di_ca_mb_br_rho_ca_di_ma_br_MAIN_sigma_REGRESSION_stunting2_nonlinear_pspline_effect_of_breastfeeding_basisR.res,pathvarsample={{prg_path}}/NV_s1_di_ca_me_mb_br_ma_s2_di_ca_mb_br_rho_ca_di_ma_br_MAIN_sigma_REGRESSION_stunting2_variance_of_nonlinear_pspline_effect_of_breastfeeding_sample.raw
  family=bivnormal,hlevel=1,equationtype=sigma,term=sx(mage),filetype=nonlinear,pathsamples={{prg_path}}/NV_s1_di_ca_me_mb_br_ma_s2_di_ca_mb_br_rho_ca_di_ma_br_MAIN_sigma_REGRESSION_stunting2_nonlinear_pspline_effect_of_mage_sample.raw,pathbasis={{prg_path}}/NV_s1_di_ca_me_mb_br_ma_s2_di_ca_mb_br_rho_ca_di_ma_br_MAIN_sigma_REGRESSION_stunting2_nonlinear_pspline_effect_of_mage_basisR.res,pathvarsample={{prg_path}}/NV_s1_di_ca_me_mb_br_ma_s2_di_ca_mb_br_rho_ca_di_ma_br_MAIN_sigma_REGRESSION_stunting2_variance_of_nonlinear_pspline_effect_of_mage_sample.raw
  family=bivnormal,hlevel=1,equationtype=sigma,term=sx(mbmi),filetype=nonlinear,pathsamples={{prg_path}}/NV_s1_di_ca_me_mb_br_ma_s2_di_ca_mb_br_rho_ca_di_ma_br_MAIN_sigma_REGRESSION_stunting2_nonlinear_pspline_effect_of_mbmi_sample.raw,pathbasis={{prg_path}}/NV_s1_di_ca_me_mb_br_ma_s2_di_ca_mb_br_rho_ca_di_ma_br_MAIN_sigma_REGRESSION_stunting2_nonlinear_pspline_effect_of_mbmi_basisR.res,pathvarsample={{prg_path}}/NV_s1_di_ca_me_mb_br_ma_s2_di_ca_mb_br_rho_ca_di_ma_br_MAIN_sigma_REGRESSION_stunting2_variance_of_nonlinear_pspline_effect_of_mbmi_sample.raw
  family=bivnormal,hlevel=1,equationtype=sigma,term=const csex ctwin munemployed motorcycle mreligion2 mreligion3 mreligion4 mreligion5 electricity radio television refrigerator bicycle car ,filetype=linear,pathsamples={{prg_path}}/NV_s1_di_ca_me_mb_br_ma_s2_di_ca_mb_br_rho_ca_di_ma_br_MAIN_sigma_REGRESSION_wasting2_LinearEffects_sample.raw,pathbasis=
  family=bivnormal,hlevel=1,equationtype=sigma,term=sx(distH7),filetype=nonlinear,pathsamples={{prg_path}}/NV_s1_di_ca_me_mb_br_ma_s2_di_ca_mb_br_rho_ca_di_ma_br_MAIN_sigma_REGRESSION_wasting2_spatial_MRF_effect_of_distH7_sample.raw,pathbasis={{prg_path}}/NV_s1_di_ca_me_mb_br_ma_s2_di_ca_mb_br_rho_ca_di_ma_br_MAIN_sigma_REGRESSION_wasting2_spatial_MRF_effect_of_distH7_basisR.res,pathvarsample={{prg_path}}/NV_s1_di_ca_me_mb_br_ma_s2_di_ca_mb_br_rho_ca_di_ma_br_MAIN_sigma_REGRESSION_wasting2_variance_of_spatial_MRF_effect_of_distH7_sample.raw
  family=bivnormal,hlevel=1,equationtype=sigma,term=sx(cage),filetype=nonlinear,pathsamples={{prg_path}}/NV_s1_di_ca_me_mb_br_ma_s2_di_ca_mb_br_rho_ca_di_ma_br_MAIN_sigma_REGRESSION_wasting2_nonlinear_pspline_effect_of_cage_sample.raw,pathbasis={{prg_path}}/NV_s1_di_ca_me_mb_br_ma_s2_di_ca_mb_br_rho_ca_di_ma_br_MAIN_sigma_REGRESSION_wasting2_nonlinear_pspline_effect_of_cage_basisR.res,pathvarsample={{prg_path}}/NV_s1_di_ca_me_mb_br_ma_s2_di_ca_mb_br_rho_ca_di_ma_br_MAIN_sigma_REGRESSION_wasting2_variance_of_nonlinear_pspline_effect_of_cage_sample.raw
  family=bivnormal,hlevel=1,equationtype=sigma,term=sx(mbmi),filetype=nonlinear,pathsamples={{prg_path}}/NV_s1_di_ca_me_mb_br_ma_s2_di_ca_mb_br_rho_ca_di_ma_br_MAIN_sigma_REGRESSION_wasting2_nonlinear_pspline_effect_of_mbmi_sample.raw,pathbasis={{prg_path}}/NV_s1_di_ca_me_mb_br_ma_s2_di_ca_mb_br_rho_ca_di_ma_br_MAIN_sigma_REGRESSION_wasting2_nonlinear_pspline_effect_of_mbmi_basisR.res,pathvarsample={{prg_path}}/NV_s1_di_ca_me_mb_br_ma_s2_di_ca_mb_br_rho_ca_di_ma_br_MAIN_sigma_REGRESSION_wasting2_variance_of_nonlinear_pspline_effect_of_mbmi_sample.raw
  family=bivnormal,hlevel=1,equationtype=rho,term=const csex ctwin munemployed motorcycle mreligion2 mreligion3 mreligion4 mreligion5 electricity radio television refrigerator bicycle car ,filetype=linear,pathsamples={{prg_path}}/NV_s1_di_ca_me_mb_br_ma_s2_di_ca_mb_br_rho_ca_di_ma_br_MAIN_rho_REGRESSION_stunting2_LinearEffects_sample.raw,pathbasis=
  family=bivnormal,hlevel=1,equationtype=rho,term=sx(cage),filetype=nonlinear,pathsamples={{prg_path}}/NV_s1_di_ca_me_mb_br_ma_s2_di_ca_mb_br_rho_ca_di_ma_br_MAIN_rho_REGRESSION_stunting2_nonlinear_pspline_effect_of_cage_sample.raw,pathbasis={{prg_path}}/NV_s1_di_ca_me_mb_br_ma_s2_di_ca_mb_br_rho_ca_di_ma_br_MAIN_rho_REGRESSION_stunting2_nonlinear_pspline_effect_of_cage_basisR.res,pathvarsample={{prg_path}}/NV_s1_di_ca_me_mb_br_ma_s2_di_ca_mb_br_rho_ca_di_ma_br_MAIN_rho_REGRESSION_stunting2_variance_of_nonlinear_pspline_effect_of_cage_sample.raw
  family=bivnormal,hlevel=1,equationtype=rho,term=sx(distH9),filetype=nonlinear,pathsamples={{prg_path}}/NV_s1_di_ca_me_mb_br_ma_s2_di_ca_mb_br_rho_ca_di_ma_br_MAIN_rho_REGRESSION_stunting2_spatial_MRF_effect_of_distH9_sample.raw,pathbasis={{prg_path}}/NV_s1_di_ca_me_mb_br_ma_s2_di_ca_mb_br_rho_ca_di_ma_br_MAIN_rho_REGRESSION_stunting2_spatial_MRF_effect_of_distH9_basisR.res,pathvarsample={{prg_path}}/NV_s1_di_ca_me_mb_br_ma_s2_di_ca_mb_br_rho_ca_di_ma_br_MAIN_rho_REGRESSION_stunting2_variance_of_spatial_MRF_effect_of_distH9_sample.raw
  family=bivnormal,hlevel=1,equationtype=rho,term=sx(mage),filetype=nonlinear,pathsamples={{prg_path}}/NV_s1_di_ca_me_mb_br_ma_s2_di_ca_mb_br_rho_ca_di_ma_br_MAIN_rho_REGRESSION_stunting2_nonlinear_pspline_effect_of_mage_sample.raw,pathbasis={{prg_path}}/NV_s1_di_ca_me_mb_br_ma_s2_di_ca_mb_br_rho_ca_di_ma_br_MAIN_rho_REGRESSION_stunting2_nonlinear_pspline_effect_of_mage_basisR.res,pathvarsample={{prg_path}}/NV_s1_di_ca_me_mb_br_ma_s2_di_ca_mb_br_rho_ca_di_ma_br_MAIN_rho_REGRESSION_stunting2_variance_of_nonlinear_pspline_effect_of_mage_sample.raw
  family=bivnormal,hlevel=1,equationtype=rho,term=sx(breastfeeding),filetype=nonlinear,pathsamples={{prg_path}}/NV_s1_di_ca_me_mb_br_ma_s2_di_ca_mb_br_rho_ca_di_ma_br_MAIN_rho_REGRESSION_stunting2_nonlinear_pspline_effect_of_breastfeeding_sample.raw,pathbasis={{prg_path}}/NV_s1_di_ca_me_mb_br_ma_s2_di_ca_mb_br_rho_ca_di_ma_br_MAIN_rho_REGRESSION_stunting2_nonlinear_pspline_effect_of_breastfeeding_basisR.res,pathvarsample={{prg_path}}/NV_s1_di_ca_me_mb_br_ma_s2_di_ca_mb_br_rho_ca_di_ma_br_MAIN_rho_REGRESSION_stunting2_variance_of_nonlinear_pspline_effect_of_breastfeeding_sample.raw"

  prg_path <- system.file("examples/bivariate", package = "BayesXShinyApp")
  rendered <- whisker.render(template, list(prg_path = prg_path))

  writeLines(rendered, paste0(prg_path, "/NV_s1_di_ca_me_mb_br_ma_s2_di_ca_mb_br_rho_ca_di_ma_br_R.r"))
}