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demo/Chapter.5.7.R
In LearnBayes: Functions for 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)
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LearnBayes documentation built on May 1, 2019, 7:03 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)
Try the LearnBayes package in your browser
Any scripts or data that you put into this service are public.
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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