ankargren / mfbvar
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@@ -158,7 +158,9 @@
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  mcmc_minn_diffuse(Y[-(1:n_lags),],Pi,Sigma,Z,Z_fcst,aux,global,local,slice,Lambda_,prior_Pi_Omega,
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                             prior_Pi_mean_vec,Z_1,n_reps,n_burnin,n_q,T_b-n_lags,n_lags,n_vars,n_T_,n_fcst,
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                             n_thin,verbose,a,gig)
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  if (verbose) {
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    cat("\n")
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  }
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  ################################################################
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  ### Prepare the return object
@@ -368,7 +370,9 @@
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  mcmc_minn_diffuse(Y[-(1:n_lags),],Pi,Sigma,Z,Z_fcst,aux,global,local,slice,Lambda_,prior_Pi_Omega,
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                             prior_Pi_mean_vec,Z_1,n_reps,n_burnin,n_q,T_b,n_lags,n_vars,n_T_,n_fcst,
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                             n_thin,verbose,a,gig)
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  if (verbose) {
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    cat("\n")
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  }
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  ################################################################
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  ### Prepare the return object
@@ -603,7 +607,9 @@
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  mcmc_ssng_diffuse(Y[-(1:n_lags),],Pi,Sigma,psi,phi_mu, lambda_mu, omega, Z,Z_fcst,Lambda_,prior_Pi_Omega,Omega_Pi,
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                      D_mat,dt,d1,d_fcst_lags,prior_psi_mean,c0,c1,s,check_roots,Z_1,n_reps,n_burnin,
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                      n_q,T_b,n_lags,n_vars,n_T_,n_fcst,n_determ,n_thin,verbose,FALSE)
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  if (verbose) {
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    cat("\n")
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  }
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  ################################################################
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  ### Prepare the return object
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  return_obj <- list(Pi = Pi, Sigma = Sigma, psi = psi, Z = Z,
@@ -854,7 +860,9 @@
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  mcmc_ssng_diffuse(Y[-(1:n_lags),],Pi,Sigma,psi,phi_mu, lambda_mu, omega, Z,Z_fcst,Lambda_,prior_Pi_Omega,Omega_Pi,
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                           D_mat,dt,d1,d_fcst_lags,prior_psi_mean,c0,c1,s,check_roots,Z_1,n_reps,n_burnin,
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                           n_q,T_b,n_lags,n_vars,n_T_,n_fcst,n_determ,n_thin,verbose,TRUE)
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  if (verbose) {
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    cat("\n")
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  }
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  ################################################################
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  ### Prepare the return object
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  return_obj <- list(Pi = Pi, Sigma = Sigma, psi = psi, Z = Z, phi_mu = phi_mu, lambda_mu = lambda_mu, omega = omega,
Files Coverage
R 70.40%
inst/include 92.50%
src 86.98%
Project Totals (50 files) 78.62%
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comment: false
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coverage:
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  status:
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    project:
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      default:
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        target: auto
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        threshold: 1%
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    patch:
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      default:
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        target: auto
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        threshold: 1%
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language: R
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sudo: false
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cache: packages
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after_success:
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- Rscript -e 'covr::codecov()'
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