Nothing
# test outfun (function)
epsilon <- 1e-15
library(mcmc)
suppressWarnings(RNGkind("Marsaglia-Multicarry"))
set.seed(42)
n <- 100
rho <- 0.5
beta0 <- 0.25
beta1 <- 1
beta2 <- 0.5
x1 <- rnorm(n)
x2 <- rho * x1 + sqrt(1 - rho^2) * rnorm(n)
eta <- beta0 + beta1 * x1 + beta2 * x2
p <- 1 / (1 + exp(- eta))
y <- as.numeric(runif(n) < p)
out <- glm(y ~ x1 + x2, family = binomial())
logl <- function(beta) {
if (length(beta) != 3) stop("length(beta) != 3")
beta0 <- beta[1]
beta1 <- beta[2]
beta2 <- beta[3]
eta <- beta0 + beta1 * x1 + beta2 * x2
p <- exp(eta) / (1 + exp(eta))
return(sum(log(p[y == 1])) + sum(log(1 - p[y == 0])))
}
out.metro <- metrop(logl, coefficients(out), 1e3, scale = 0.01)
out.metro$accept
out.metro <- metrop(out.metro, scale = 0.1)
out.metro$accept
out.metro <- metrop(out.metro, scale = 0.5)
out.metro$accept
apply(out.metro$batch, 2, mean)
out.metro <- metrop(logl, as.numeric(coefficients(out)), 1e2,
scale = 0.5, debug = TRUE, outfun = function(x) c(x, x^2))
niter <- out.metro$nbatch * out.metro$blen * out.metro$nspac
niter == nrow(out.metro$current)
niter == nrow(out.metro$proposal)
all(out.metro$current[1, ] == out.metro$initial)
all(out.metro$current[niter, ] == out.metro$final) |
all(out.metro$proposal[niter, ] == out.metro$final)
.Random.seed <- out.metro$initial.seed
d <- ncol(out.metro$proposal)
n <- nrow(out.metro$proposal)
my.proposal <- matrix(NA, n, d)
my.u <- double(n)
ska <- out.metro$scale
for (i in 1:n) {
my.proposal[i, ] <- out.metro$current[i, ] + ska * rnorm(d)
if (is.na(out.metro$u[i])) {
my.u[i] <- NA
} else {
my.u[i] <- runif(1)
}
}
max(abs(out.metro$proposal - my.proposal)) < epsilon
all(is.na(out.metro$u) == is.na(my.u))
all(out.metro$u[!is.na(out.metro$u)] == my.u[!is.na(my.u)])
my.curr.log.green <- apply(out.metro$current, 1, logl)
my.prop.log.green <- apply(out.metro$proposal, 1, logl)
all(is.na(out.metro$u) == (my.prop.log.green > my.curr.log.green))
foo <- my.prop.log.green - my.curr.log.green
max(abs(foo - out.metro$log.green)) < epsilon
my.accept <- is.na(my.u) | my.u < exp(foo)
sum(my.accept) == round(n * out.metro$accept)
if (my.accept[niter]) {
all(out.metro$proposal[niter, ] == out.metro$final)
} else {
all(out.metro$current[niter, ] == out.metro$final)
}
my.current <- out.metro$current
my.current[my.accept, ] <- my.proposal[my.accept, ]
my.current <- rbind(out.metro$initial, my.current[- niter, ])
max(abs(out.metro$current - my.current)) < epsilon
my.path <- matrix(NA, n, d)
my.path[my.accept, ] <- out.metro$proposal[my.accept, ]
my.path[! my.accept, ] <- out.metro$current[! my.accept, ]
nspac <- out.metro$nspac
my.path <- my.path[seq(nspac, niter, by = nspac), ]
fred <- t(apply(my.path, 1, out.metro$outfun))
k <- ncol(fred)
foom <- array(as.vector(t(fred)), c(k, out.metro$blen, out.metro$nbatch))
boom <- t(apply(foom, c(1, 3), mean))
all(dim(boom) == dim(out.metro$batch))
max(abs(boom - out.metro$batch)) < epsilon
goom <- cbind(my.path, my.path^2)
all(dim(goom) == dim(out.metro$batch))
max(abs(goom - out.metro$batch)) < epsilon
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