update example output

stan-dev · Dec 10, 2024 · 78d628f · 78d628f
1 parent 9ac24c6
commit 78d628f
Showing 1 changed file with 29 additions and 29 deletions.
diff --git a/src/cmdstan-guide/stansummary.qmd b/src/cmdstan-guide/stansummary.qmd
@@ -73,38 +73,38 @@ output files to get the following report:
 
 ```
 > bin/stansummary eight_*.csv
-Input files: eight_1.csv, eight_2.csv, eight_3.csv, eight_4.csv
 Inference for Stan model: eight_schools_model
-4 chains: each with iter=(1000,1000,1000,1000); warmup=(0,0,0,0); thin=(1,1,1,1); 4000 iterations saved.
-
-Warmup took (0.048, 0.060, 0.047, 0.045) seconds, 0.20 seconds total
-Sampling took (0.057, 0.058, 0.061, 0.066) seconds, 0.24 seconds total
-
-                 Mean     MCSE  StdDev     5%   50%   95%  N_Eff  N_Eff/s    R_hat
-
-lp__              -18     0.33     5.1    -26   -19  -9.1    233      963      1.0
-accept_stat__    0.88  1.6e-02    0.23   0.21  0.98  1.00    203      838  1.0e+00
-stepsize__       0.18  2.2e-02   0.031   0.14  0.20  0.22    2.0      8.3  3.9e+13
-treedepth__       3.8  5.9e-02    0.78    2.0   4.0   5.0    175      724  1.0e+00
-n_leapfrog__       18  1.3e+00     9.4    7.0    15    31     51      212  1.0e+00
-divergent__     0.015  4.1e-03    0.12   0.00  0.00  0.00    865     3576  1.0e+00
-energy__           23  3.4e-01     5.5     13    23    32    258     1066  1.0e+00
-
-mu                7.9     0.16     5.1  -0.23   7.9    16   1021     4221      1.0
-theta[1]           12     0.30     8.6  -0.48    11    28    837     3459      1.0
-theta[2]          7.8     0.15     6.4   -2.7   7.7    18   1717     7096     1.00
-theta[3]          6.1     0.19     7.7   -6.5   6.5    18   1684     6958      1.0
-theta[4]          7.5     0.15     6.7   -3.1   7.4    18   2026     8373      1.0
-theta[5]          4.7     0.17     6.4   -6.7   5.3    15   1391     5747     1.00
-theta[6]          5.9     0.16     6.7   -5.8   6.2    16   1673     6915     1.00
-theta[7]           11     0.22     7.0  0.057    10    23   1069     4419      1.0
-theta[8]          8.3     0.20     7.9   -4.2   8.0    22   1503     6209     1.00
-tau               7.2     0.26     5.2    1.5   5.9    17    401     1657      1.0
+4 chains: each with iter=1000; warmup=1000; thin=1; 1000 iterations saved.
+
+Warmup took (0.031, 0.031, 0.038, 0.031) seconds, 0.13 seconds total
+Sampling took (0.032, 0.039, 0.026, 0.029) seconds, 0.13 seconds total
+
+                 Mean   MCSE  StdDev    MAD     5%   50%   95%  ESS_bulk  ESS_tail  R_hat
+
+lp__              -18   0.36     5.3    5.5    -26   -18  -8.7       214       217    1.0
+accept_stat__    0.80  0.021    0.29  0.068  0.033  0.95  1.00       268       314    1.0
+stepsize__       0.20    nan   0.040  0.029   0.14  0.21  0.25       nan       nan    nan
+treedepth__       3.7   0.22    0.88    1.5    2.0   4.0   5.0        26        18    1.1
+n_leapfrog__       17    3.1      10     12    3.0    15    31        30        21    1.1
+divergent__     0.022    nan    0.15   0.00   0.00  0.00  0.00       nan       nan    nan
+energy__           23   0.38     5.7    5.8     13    23    32       223       286    1.0
+
+mu                7.9   0.16     5.3    4.9  -0.35   7.9    16       977       472    1.0
+theta[1]           12   0.32     8.8    7.4  -0.19    11    28       727       525    1.0
+theta[2]          7.8   0.17     6.4    6.0   -2.8   7.8    18      1298      2137    1.0
+theta[3]          5.9   0.20     8.1    6.8   -8.0   6.5    18      1493      1720    1.0
+theta[4]          7.5   0.17     6.9    6.3   -3.4   7.6    18      1517      1935    1.0
+theta[5]          4.9   0.20     6.3    6.1   -6.1   5.1    15       998      1357    1.0
+theta[6]          5.8   0.18     6.8    6.1   -6.3   6.2    16      1434      1431    1.0
+theta[7]           11   0.25     7.0    6.4   0.42    10    23       741       562    1.0
+theta[8]          8.6   0.21     8.1    7.2   -3.6   8.3    22      1444      1850    1.0
+tau               7.3   0.31     5.8    4.4    1.5   5.7    18       226      1230    1.0
 
 Samples were drawn using hmc with nuts.
-For each parameter, N_Eff is a crude measure of effective sample size,
-and R_hat is the potential scale reduction factor on split chains (at
-convergence, R_hat=1).
+For each parameter, ESS_bulk and ESS_tail measure the effective sample size for the entire sample
+(bulk) and for the .05 and .95 tails (tail),
+and R_hat measures the potential scale reduction on split chains. At convergence R_hat will be
+very close to 1.00.
 ```
 
 The console output information consists of