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system.time({ | |
library(gtools) | |
library(MASS) | |
### data | |
yg <- galaxies | |
yg[78] <-26960 | |
yg <- yg/1000 | |
set.seed(123) | |
nsim <- 1e6 | |
theta1 <- rnorm(nsim, 20, 10) | |
theta2 <- rnorm(nsim, 20, 10) | |
theta3 <- rnorm(nsim, 20, 10) | |
tau2 <- rgamma(nsim, 3, scale=1/20) | |
p <- rdirichlet(nsim, alpha=c(1,1,1)) | |
l <- rep(1, nsim) # vector of likelihoods | |
for(y in yg) { | |
l <- l* (p[,1]*dnorm(y, mean=theta1, sd=sqrt(1/tau2)) + | |
p[,2]*dnorm(y, mean=theta2, sd=sqrt(1/tau2)) + | |
p[,3]*dnorm(y, mean=theta3, sd=sqrt(1/tau2))) | |
} | |
}) | |
# user system elapsed | |
# work computer | |
# 36.28 3.03 39.42 | |
# work linux server | |
# 33.523 0.177 34.741 | |
# 15in rMBP mid 2015 (i7 2.2GHz) | |
# 15.065 1.253 16.338 | |
# 13in MBA mid 2011 (i5 1.7GHz) | |
# 25.623 1.688 27.709 | |
# 13in rMBP late 2013 (i5 2.4 GHz) | |
# 17.861 1.394 19.304 | |
# nathan's hackintosh (i5 3.4 GHz) | |
# 14.461 0.982 15.440 | |
# rpi 3 | |
# 354.110 11.470 365.671 | |
# hopkins biostats cluster (e5 1.7 GHz) | |
# 53.553 0.222 3.887 |
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