demo/Chapter.5.7.R
In bayesball/LearnBayes: Learning Bayesian Inference
#########################################################
# Section 5.7 Monte Carlo Method for Computing Integrals
#########################################################
p=rbeta(1000, 14.26, 23.19)
est=mean(p^2)
se=sd(p^2)/sqrt(1000)
c(est,se)
bayesball/LearnBayes documentation built on May 11, 2019, 9:21 p.m.
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#########################################################
# Section 5.7 Monte Carlo Method for Computing Integrals
#########################################################
p=rbeta(1000, 14.26, 23.19)
est=mean(p^2)
se=sd(p^2)/sqrt(1000)
c(est,se)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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