fit_female_ab.txt

Inference for Stan model: anon_model.
20 chains, each with iter=50000; warmup=25000; thin=1; 
post-warmup draws per chain=25000, total post-warmup draws=5e+05.

                mean se_mean     sd     2.5%      50%    97.5%  n_eff Rhat
p              0.338   0.000  0.024    0.292    0.338    0.386 549697    1
se_1           0.942   0.000  0.010    0.922    0.942    0.961 541866    1
se_2           0.898   0.000  0.012    0.875    0.898    0.921 544867    1
sp_1           0.840   0.000  0.013    0.815    0.840    0.865 554644    1
sp_2           0.810   0.000  0.015    0.781    0.810    0.840 576973    1
p_sample[1]    0.306   0.000  0.019    0.270    0.306    0.343 603173    1
p_sample[2]    0.123   0.000  0.009    0.105    0.123    0.142 586690    1
p_sample[3]    0.118   0.000  0.007    0.104    0.118    0.133 618962    1
p_sample[4]    0.452   0.000  0.018    0.418    0.452    0.487 638840    1
y_ppc[1]     175.352   0.021 15.432  146.000  175.000  206.000 545182    1
y_ppc[2]      70.511   0.013  9.489   53.000   70.000   90.000 520191    1
y_ppc[3]      67.883   0.012  8.836   51.000   68.000   86.000 524538    1
y_ppc[4]     259.254   0.021 15.579  229.000  259.000  290.000 548879    1
log_lik      -19.143   0.004  2.809  -25.125  -18.966  -14.170 558589    1
lp__        -699.797   0.003  1.617 -703.808 -699.461 -697.673 243071    1

Samples were drawn using NUTS(diag_e) at Fri Jun  2 12:12:15 2023.
For each parameter, n_eff is a crude measure of effective sample size,
and Rhat is the potential scale reduction factor on split chains (at 
convergence, Rhat=1).