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summary_small_basicGP.txt
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summary_small_basicGP.txt
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Inference for Stan model: Matern32Poisson_basicGP_model
1 chains: each with iter=(2000000); warmup=(0); thin=(1); 2000000 iterations saved.
Warmup took (16) seconds, 16 seconds total
Sampling took (1946) seconds, 32 minutes total
Mean MCSE StdDev 5% 50% 95% N_Eff N_Eff/s R_hat
lp__ 9.5e+001 3.2e-003 2.2e+000 91 95 98 4.8e+005 2.5e+002 1.0
accept_stat__ 9.0e-001 1.8e-004 1.6e-001 0.50 0.97 1.00 8.1e+005 4.1e+002 1.0
stepsize__ 2.2e-001 8.5e-013 6.0e-013 0.22 0.22 0.22 5.0e-001 2.6e-004 1.00
treedepth__ 3.6e+000 5.6e-004 6.0e-001 3.0 4.0 4.0 1.1e+006 5.8e+002 1.0
n_leapfrog__ 1.5e+001 3.9e-003 4.5e+000 7.0 15 23 1.3e+006 6.8e+002 1.0
divergent__ 2.0e-003 7.8e-005 4.5e-002 0.00 0.00 0.00 3.3e+005 1.7e+002 1.0
energy__ -9.1e+001 4.1e-003 3.0e+000 -95 -91 -85 5.2e+005 2.7e+002 1.0
mu 1.9e+000 3.5e-003 1.6e+000 -0.19 2.0 3.8 2.1e+005 1.1e+002 1.0
lscale 2.5e-001 5.8e-004 2.8e-001 0.018 0.18 0.72 2.2e+005 1.1e+002 1.00
stdev 1.8e+000 2.5e-003 1.3e+000 0.73 1.5 3.8 2.6e+005 1.3e+002 1.0
x[1] 3.0e+000 1.8e-004 2.2e-001 2.6 3.0 3.3 1.5e+006 7.7e+002 1.00
x[2] 3.2e+000 2.0e-004 2.1e-001 2.8 3.2 3.5 1.0e+006 5.4e+002 1.00
x[3] 8.1e-001 8.6e-004 7.8e-001 -0.59 0.90 1.9 8.3e+005 4.3e+002 1.0
x[4] 1.8e+000 3.4e-004 3.9e-001 1.1 1.8 2.4 1.3e+006 6.5e+002 1.00
x[5] 1.2e+000 4.7e-004 5.1e-001 0.26 1.2 1.9 1.2e+006 6.3e+002 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).