Model run using Apollo for R, version 0.1.0 
www.ApolloChoiceModelling.com

Model name                       : Apollo_example_25_bayesian
Model description                : ICLV model on drug choice data, using continuous measurement model for indicators
Model run at                     : 2020-10-28 12:03:25
Estimation method                : Hierarchical Bayes
Number of individuals            : 1000
Number of observations           : 10000

Number of cores used             :  1 

Estimation carried out using RSGHB
Burn-in iterations               : 50000
Post burn-in iterations          : 5000
LL(start)                        : -20541.48
LL(0)                            : NA
Average post. LL post burn-in    : -17380.81
Average post. RLH post burn-in   : 0.1799


Chain convergence report (Geweke test)

Fixed (non random) parameters (t-test value for Geweke test)
      b_brand_Novum   b_brand_BestValue b_brand_Supermarket    b_brand_PainAway        b_country_CH        b_country_DK       b_country_IND       b_country_RUS       b_country_BRA         b_char_fast       b_char_double 
             0.1453             -5.4527             -6.1060              4.3875             -6.8167             -7.7789              1.5643              3.5845              2.2536             -5.5080             -3.4382 
             b_risk             b_price              lambda      gamma_reg_user    gamma_university        gamma_age_50        zeta_quality     zeta_ingredient         zeta_patent      zeta_dominance          sigma_qual 
            -4.0370              4.1580             -5.9738              3.2233             -0.4881             -2.7978             -4.6229              4.4790             -2.7127              3.4001             -6.1154 
         sigma_ingr          sigma_pate          sigma_domi 
             0.2907              4.5191              0.6910 

Random parameters (t-test value for Geweke test)
var1 
 NaN 

Covariances of random parameters (t-test value for Geweke test)
eta_eta 
    NaN 


Summary of parameter chains

Non-random coefficients 
                       Mean     SD
b_brand_Artemis      0.0000     NA
b_brand_Novum       -0.1006 0.0093
b_brand_BestValue   -0.1751 0.0065
b_brand_Supermarket -0.0318 0.0109
b_brand_PainAway    -0.5641 0.0477
b_country_CH         0.4855 0.0210
b_country_DK         0.2851 0.0266
b_country_USA        0.0000     NA
b_country_IND       -0.0796 0.0069
b_country_RUS       -0.4323 0.0253
b_country_BRA       -0.2872 0.0111
b_char_standard      0.0000     NA
b_char_fast          0.4366 0.0235
b_char_double        0.8598 0.0402
b_risk              -0.0016 0.0001
b_price             -0.4972 0.0161
lambda               0.4800 0.0404
gamma_reg_user       0.2984 0.0201
gamma_university     0.1369 0.0044
gamma_age_50         0.0414 0.0123
zeta_quality         0.0297 0.0393
zeta_ingredient     -0.1351 0.0240
zeta_patent          0.0908 0.0267
zeta_dominance      -0.1890 0.0075
sigma_qual           1.2087 0.0146
sigma_ingr           1.1820 0.0071
sigma_pate           1.2876 0.0134
sigma_domi           1.1064 0.0110

Upper level model results for mean parameters for underlying Normals 
    Mean SD
eta    0  0

Upper level model results for covariance matrix for underlying Normals (means across iterations) 
    eta
eta   1

Upper level model results for covariance matrix for underlying Normals (SD across iterations) 
    eta
eta   0

Summary of distributions of random coeffients (after distributional transforms) 
       Mean     SD
[1,] 0.0049 0.9896

Results for posterior means for random coefficients 
      [,1]   [,2]
eta 0.1335 0.7056

