posterior_intervals: Return a function that computes the posterior intervals.
In luisdamiano/BayesHMM: Full Bayesian Inference for Hidden Markov Models
Description
Usage
Arguments
Value
Examples
Description
Return a function that computes the posterior intervals.
Usage
1
Arguments
...
Arguments to be passed to quantile.
Value
A scalar with same type as 'x'.
Examples
1
2
f <- posterior_intervals(probs = c(0.05, 0.95))
print(f(1:100))
luisdamiano/BayesHMM documentation built on May 20, 2019, 2:59 p.m.
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Description Usage Arguments Value Examples
Description
Return a function that computes the posterior intervals.
Usage
1 |
Arguments
... |
Arguments to be passed to |
Value
A scalar with same type as 'x'.
Examples
1 2 | f <- posterior_intervals(probs = c(0.05, 0.95))
print(f(1:100))
|
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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