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rstanパッケージの動作確認ー8school
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library(rstan) | |
rstan_options(auto_write = TRUE) | |
options(mc.cores = parallel::detectCores()) | |
stancode <- " | |
data { | |
int<lower=0> J; // number of schools | |
real y[J]; // estimated treatment effects | |
real<lower=0> sigma[J]; // s.e. of effect estimates | |
} | |
parameters { | |
real mu; | |
real<lower=0> tau; | |
real eta[J]; | |
} | |
transformed parameters { | |
real theta[J]; | |
for (j in 1:J) | |
theta[j] = mu + tau * eta[j]; | |
} | |
model { | |
target += normal_lpdf(eta | 0, 1); | |
target += normal_lpdf(y | theta, sigma); | |
} | |
" | |
schools_dat <- list(J = 8, y = c(28, 8, -3, 7, -1, 1, 18, 12), | |
sigma = c(15, 10, 16, 11, 9, 11, 10, 18)) | |
model.ex <- stan_model(model_code = stancode, model_name = "school") | |
fit.samp <- sampling(model.ex, data = schools_dat, iter = 1000, | |
chains = 4) | |
fit.samp |
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