posterior.mode: Estimates the marginal parameter modes using kernel density...
In MCMCglmm: MCMC Generalised Linear Mixed Models
posterior.mode R Documentation
Estimates the marginal parameter modes using kernel density estimation
Description
Estimates the marginal parameter modes using kernel density estimation
Usage
posterior.mode(x, adjust=0.1, ...)
Arguments
x
mcmc object
adjust
numeric, passed to density to adjust the bandwidth of the kernal density
...
other arguments to be passed
Value
modes of the kernel density estimates
Author(s)
Jarrod Hadfield j.hadfield@ed.ac.uk
See Also
density
Examples
v<-rIW(as.matrix(1),10, n=1000)
hist(v)
abline(v=posterior.mode(mcmc(v)), col="red")
MCMCglmm documentation built on July 9, 2023, 5:24 p.m.
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| posterior.mode | R Documentation |
Estimates the marginal parameter modes using kernel density estimation
Description
Estimates the marginal parameter modes using kernel density estimation
Usage
posterior.mode(x, adjust=0.1, ...)
Arguments
x |
mcmc object |
adjust |
numeric, passed to |
... |
other arguments to be passed |
Value
modes of the kernel density estimates
Author(s)
Jarrod Hadfield j.hadfield@ed.ac.uk
See Also
density
Examples
v<-rIW(as.matrix(1),10, n=1000)
hist(v)
abline(v=posterior.mode(mcmc(v)), col="red")
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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