Results of Stan1 model

Stan1results.txt

Inference for Stan model: Electricity 55.
4 chains, each with iter=3e+05; warmup=150000; thin=1; 
post-warmup draws per chain=150000, total post-warmup draws=6e+05.

              mean se_mean   sd   2.5%    25%    50%    75%  97.5% n_eff Rhat
alpha[1]     446.4     1.1 31.7  385.0  427.1  445.6  464.9  509.7   810    1
alpha[2]     486.5     0.3 31.3  425.6  467.5  486.3  504.3  550.5  9341    1
alpha[3]     588.3     0.3 41.3  507.6  562.0  588.2  614.1  671.4 23192    1
alpha_alpha  513.7     0.4 59.9  400.6  477.7  510.0  547.8  644.4 22189    1
alpha_sigma   95.1     1.1 64.5   33.7   57.0   78.8  111.9  255.4  3251    1
beta[1]       -2.9     0.0  0.7   -4.3   -3.4   -2.9   -2.5   -0.9   237    1
beta[2]        5.8     0.0  1.2    3.4    5.0    5.8    6.6    8.1 32546    1
beta[3]        5.1     0.0  1.2    2.7    4.3    5.1    6.0    7.6  2223    1
beta_alpha     2.5     0.1  4.7   -7.4    0.2    2.5    5.0   11.5  1295    1
beta_sigma     7.6     0.1  5.4    2.6    4.5    6.2    9.0   21.0 10012    1
gamma[1]     -77.6     0.9 30.9 -140.8  -95.7  -76.5  -58.9  -18.7  1285    1
gamma[2]      39.8     0.3 30.1  -21.8   23.3   39.9   57.3   99.7  9775    1
gamma[3]     -20.0     0.5 30.1  -81.6  -38.0  -19.5   -2.3   38.9  3468    1
gamma[4]      38.0     0.2 32.0  -25.7   19.5   37.2   57.1  101.9 20164    1
gamma[5]       6.0     0.3 30.0  -55.6  -11.7    6.3   23.5   64.7  9185    1
gamma_alpha   -0.3     0.2  5.1   -9.8   -3.7   -0.2    3.2    9.6   508    1
gamma_sigma   61.5     0.2 27.9   29.5   43.7   54.5   71.7  133.0 21382    1
sigma[1]      19.7     0.1  2.9   14.3   17.8   19.6   21.6   25.9  1166    1
sigma[2]      22.2     0.0  3.5   16.8   19.8   21.7   23.9   30.7 33349    1
sigma[3]      19.9     0.1  3.3   13.9   17.8   19.7   21.9   27.0  3124    1
sigma_alpha   20.4     0.0  3.6   13.7   18.4   20.3   22.4   27.9  5144    1
sigma_sigma    2.8     0.1  3.4    0.1    0.8    1.9    3.6   11.3  3118    1
lp__        -255.8     0.0  4.2 -264.9 -258.4 -255.5 -253.0 -248.3 14719    1

Samples were drawn using NUTS2 at Thu Jun 20 23:06:33 2013.
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).