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R/logpriorh2.R
In bbemkr: Bayesian bandwidth estimation for multivariate kernel regression with Gaussian error
Defines functions
logpriorh2
Documented in
logpriorh2
logpriorh2 <- function(h2, prior_alpha = 1.0, prior_beta = 0.05)
{
logp = prior_alpha * log(prior_beta) - lgamma(prior_alpha) - (prior_alpha + 1.0) * log(h2) - prior_beta/h2
return(logp)
}
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bbemkr documentation built on May 1, 2019, 10:53 p.m.
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Defines functions logpriorh2
Documented in logpriorh2
logpriorh2 <- function(h2, prior_alpha = 1.0, prior_beta = 0.05)
{
logp = prior_alpha * log(prior_beta) - lgamma(prior_alpha) - (prior_alpha + 1.0) * log(h2) - prior_beta/h2
return(logp)
}
Try the bbemkr package in your browser
Any scripts or data that you put into this service are public.
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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