R/p.R
In aashen12/BARS: Bayesian Adaptive Regression Splines
Defines functions
p
p <- function(lambda = 1, .k) {
num <- .k * log(lambda)
den <- log(exp(lambda) - 1) + lfactorial(.k)
return(num - den)
} #RJMCMC poisson prior with default lambda = 1
aashen12/BARS documentation built on Aug. 21, 2020, 2:44 p.m.
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Defines functions p
p <- function(lambda = 1, .k) {
num <- .k * log(lambda)
den <- log(exp(lambda) - 1) + lfactorial(.k)
return(num - den)
} #RJMCMC poisson prior with default lambda = 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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