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# model file model-010d.bug fits an intercept and gradient model then finds the
# corresponding callibrated value for an unknown value of y corresponding R file
# model-010.r
model{
for (i in 1:n) {
y[i] ~ dnorm(mu[i], tau)
mu[i] <- b1 * x[i] + b0
}
unknown.x <- (unknown.y - b0)/b1
tau ~ dgamma(0.05, 0.05)
b0 ~ dnorm(0, 1e-05)
b1 ~ dnorm(0, 1e-05)
}
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