ll.binom: Binomial likelihood
In HPbayes: Heligman Pollard mortality model parameter estimation using Bayesian Melding with Incremental Mixture Importance Sampling
Description
Usage
Arguments
Value
References
See Also
Examples
Description
Calculates a log likelihood from a binomial distribution
Usage
1
ll.binom(x, n, p)
Arguments
x
Same as x from dbinom - successes
n
Same as size from dbinom - trials
p
Same as prob from dbinom - observed probability
Value
Log-Likelihood based on a binomial distribution
References
R Development Core Team. 2009. "R: A Language and Environment for Statistical Computing" R Foundation for Statistical Computing Vienna, Austria.
See Also
Examples
1
ll.binom(x=1, n=2, p=0.5)
HPbayes documentation built on May 2, 2019, 5:53 a.m.
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Description Usage Arguments Value References See Also Examples
Description
Calculates a log likelihood from a binomial distribution
Usage
1 | ll.binom(x, n, p)
|
Arguments
x |
Same as |
n |
Same as |
p |
Same as |
Value
Log-Likelihood based on a binomial distribution
References
R Development Core Team. 2009. "R: A Language and Environment for Statistical Computing" R Foundation for Statistical Computing Vienna, Austria.
See Also
Examples
1 | ll.binom(x=1, n=2, p=0.5)
|
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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