hmode: Estimate the mode by finding the highest posterior density...
In bpnreg: Bayesian Projected Normal Regression Models for Circular Data
Description
Usage
Arguments
Value
Description
Estimate the mode by finding the highest posterior density interval
Usage
1
hmode(x, cip)
Arguments
x
a sample from which to estimate the interval
cip
bandwidth for the algorithm, ranging from 0 to 1
Value
a scalar containing the estimate of the mode
bpnreg documentation built on May 2, 2019, 6:37 a.m.
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Description Usage Arguments Value
Description
Estimate the mode by finding the highest posterior density interval
Usage
1 | hmode(x, cip)
|
Arguments
x |
a sample from which to estimate the interval |
cip |
bandwidth for the algorithm, ranging from 0 to 1 |
Value
a scalar containing the estimate of the mode
bpnreg documentation built on May 2, 2019, 6:37 a.m.
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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