hmode: Estimate the mode by finding the highest posterior density...
In joliencremers/bpnreg: Bayesian Projected Normal Regression Models for Circular Data
hmode R Documentation
Estimate the mode by finding the highest posterior density interval
Description
Estimate the mode by finding the highest posterior density interval
Usage
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
joliencremers/bpnreg documentation built on Nov. 9, 2023, 4:55 a.m.
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| hmode | R Documentation |
Estimate the mode by finding the highest posterior density interval
Description
Estimate the mode by finding the highest posterior density interval
Usage
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
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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