demo/Chapter.5.6.R
In bayesball/LearnBayes: Learning Bayesian Inference
######################################################
# Section 5.6 The Example
######################################################
library(LearnBayes)
data(cancermortality)
fit=laplace(betabinexch,c(-7,6),cancermortality)
fit
npar=list(m=fit$mode,v=fit$var)
mycontour(lbinorm,c(-8,-4.5,3,16.5),npar,
xlab="logit eta", ylab="log K")
se=sqrt(diag(fit$var))
fit$mode-1.645*se
fit$mode+1.645*se
bayesball/LearnBayes documentation built on May 11, 2019, 9:21 p.m.
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######################################################
# Section 5.6 The Example
######################################################
library(LearnBayes)
data(cancermortality)
fit=laplace(betabinexch,c(-7,6),cancermortality)
fit
npar=list(m=fit$mode,v=fit$var)
mycontour(lbinorm,c(-8,-4.5,3,16.5),npar,
xlab="logit eta", ylab="log K")
se=sqrt(diag(fit$var))
fit$mode-1.645*se
fit$mode+1.645*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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