sumDlogNorm: Sum log-likelihoods of i.i.d. lognormal.
In mooresm/serrsBayes: Bayesian Modelling of Raman Spectroscopy
Description
Usage
Arguments
Details
Value
See Also
Examples
Description
This is an internal function that is only exposed on the public API for unit testing purposes.
Usage
1
sumDlogNorm(x, meanlog, sdlog)
Arguments
x
Vector of i.i.d. lognormal random varibles
meanlog
mean of the distribution on the log scale
sdlog
standard deviation on the log scale
Details
The sum of the log-likelihoods (log of the product of the likelihoods)
for independent, identically-distributed, lognormal random variables.
Note: this Rcpp function is thread-safe, unlike the equivalent alternatives.
Value
log-likelihood of x
See Also
sum(dlnorm(x, meanlog, sdlog, log=TRUE))
Examples
1
2
x <- rlnorm(100)
sumDlogNorm(x,0,1)
mooresm/serrsBayes documentation built on July 2, 2021, 7:36 a.m.
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Description Usage Arguments Details Value See Also Examples
Description
This is an internal function that is only exposed on the public API for unit testing purposes.
Usage
1 | sumDlogNorm(x, meanlog, sdlog)
|
Arguments
x |
Vector of i.i.d. lognormal random varibles |
meanlog |
mean of the distribution on the log scale |
sdlog |
standard deviation on the log scale |
Details
The sum of the log-likelihoods (log of the product of the likelihoods) for independent, identically-distributed, lognormal random variables. Note: this Rcpp function is thread-safe, unlike the equivalent alternatives.
Value
log-likelihood of x
See Also
sum(dlnorm(x, meanlog, sdlog, log=TRUE))
Examples
1 2 | x <- rlnorm(100)
sumDlogNorm(x,0,1)
|
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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