dinvgaussian: Log-density of inverse Gaussian
In pierrejacob/debiasedmcmc: Unbiased MCMC with couplings
View source: R/invgaussian_couplings.R
dinvgaussian R Documentation
Log-density of inverse Gaussian
Description
Computes log-pdf at x > 0 of inverse Gaussian with given parameters mu, lambda, given by
0.5 * log(λ/(2*π)) - 1.5 * log(x) - λ * (x-μ)^2 / (2 * μ^2 * x)
Usage
dinvgaussian(x, mu, lambda)
Value
A vector of n log-pdf values, one for each element in the first argument 'x'.
pierrejacob/debiasedmcmc documentation built on Aug. 22, 2022, 12:41 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.
View source: R/invgaussian_couplings.R
| dinvgaussian | R Documentation |
Log-density of inverse Gaussian
Description
Computes log-pdf at x > 0 of inverse Gaussian with given parameters mu, lambda, given by
0.5 * log(λ/(2*π)) - 1.5 * log(x) - λ * (x-μ)^2 / (2 * μ^2 * x)
Usage
dinvgaussian(x, mu, lambda)
Value
A vector of n log-pdf values, one for each element in the first argument 'x'.
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.