Created
August 3, 2019 18:05
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Test bias
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using CmdStan, StatsPlots, Random, MCMCDiagnostics | |
Random.seed!(12395391) | |
ProjDir = @__DIR__ | |
cd(ProjDir) | |
berstanmodel = " | |
data { | |
int<lower=0> N; | |
int<lower=0,upper=1> y[N]; | |
} | |
parameters { | |
real<lower=0,upper=1> theta; | |
} | |
model { | |
theta ~ beta(1,1); | |
for (n in 1:N) | |
y[n] ~ bernoulli(theta); | |
} | |
" | |
data = Dict("y" => [0,1,0,0,0,0,0,0,0,1], | |
"N" => 10) | |
stanmodel = Stanmodel( | |
name = "berstanmodel", model = berstanmodel, nchains = 4); | |
ess_array_mcmcchains = [] | |
ess_array_cmdstan = [] | |
for i in 1:100 | |
rc, chns, cnames = stan(stanmodel, | |
data, summary=true, ProjDir); | |
dfc = describe(chns)[1] | |
append!(ess_array_mcmcchains, dfc[:theta, :ess]) | |
rs = read_summary(stanmodel) | |
append!(ess_array_cmdstan, rs[:theta, :ess]) | |
end | |
p = Array{Plots.Plot{Plots.GRBackend}}(undef, 1); | |
p[1] = plot(ess_array_cmdstan, lab="CmdStan", xlim=(0, 170)) | |
p[1] = plot!(ess_array_mcmcchains, lab="MCMCChains") | |
plot(p..., layout=(1,1)) | |
savefig("ess_comparison_plot.pdf") |
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