logHyp2f1Laplace: Laplace approximation to the Gauss hypergeometric function
In hypergsplines: Bayesian model selection with penalised splines and hyper-g prior
Description
Usage
Arguments
Value
Author(s)
Description
This is an R interface to the C function implementing the
Laplace approximation to the Gauss hypergeometric
function. Note that all parameters must be numeric and
must not be complex. Only x may be a vector.
Usage
1
logHyp2f1Laplace(a, b, c, x)
Arguments
a
first function parameter
b
second function parameter
c
third function parameter
x
vector of abscissae with absolute value not
greater than 1
Value
the logarithm of Laplace approximated values
Author(s)
Daniel Sabanes Bove
daniel.sabanesbove@ifspm.uzh.ch
hypergsplines documentation built on May 2, 2019, 6:14 p.m.
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Description Usage Arguments Value Author(s)
Description
This is an R interface to the C function implementing the
Laplace approximation to the Gauss hypergeometric
function. Note that all parameters must be numeric and
must not be complex. Only x may be a vector.
Usage
1 | logHyp2f1Laplace(a, b, c, x)
|
Arguments
a |
first function parameter |
b |
second function parameter |
c |
third function parameter |
x |
vector of abscissae with absolute value not greater than 1 |
Value
the logarithm of Laplace approximated values
Author(s)
Daniel Sabanes Bove daniel.sabanesbove@ifspm.uzh.ch
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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