logmvgamma: Logarithmic multivariate Gamma function (Internal function)
In TargetScore: TargetScore: Infer microRNA targets using microRNA-overexpression data and sequence information
Description
Usage
Arguments
Details
Value
Author(s)
References
See Also
Examples
Description
Compute logarithm multivariate Gamma function.
Usage
1
logmvgamma(x, d)
Arguments
x
numeric vector or matrix
d
dimension
Details
Gamma_p(x) = pi^(p(p-1)/4) prod_(j=1)^p Gamma(x+(1-j)/2)
log Gamma_p(x) = p(p-1)/4 log pi + sum_(j=1)^p log Gamma(x+(1-j)/2)
Value
Matrix of the same dimension as x.
Author(s)
Yue Li
References
Mo Chen (2012). Matlab code for Variational Bayesian Inference for Gaussian Mixture Model. http://www.mathworks.com/matlabcentral/fileexchange/35362-variational-bayesian-inference-for-gaussian-mixture-model
See Also
Examples
1
logmvgamma(matrix(1:6,nrow=3), 2)
TargetScore documentation built on Nov. 8, 2020, 6:56 p.m.
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Description Usage Arguments Details Value Author(s) References See Also Examples
Description
Compute logarithm multivariate Gamma function.
Usage
1 | logmvgamma(x, d)
|
Arguments
x |
numeric vector or matrix |
d |
dimension |
Details
Gamma_p(x) = pi^(p(p-1)/4) prod_(j=1)^p Gamma(x+(1-j)/2)
log Gamma_p(x) = p(p-1)/4 log pi + sum_(j=1)^p log Gamma(x+(1-j)/2)
Value
Matrix of the same dimension as x.
Author(s)
Yue Li
References
Mo Chen (2012). Matlab code for Variational Bayesian Inference for Gaussian Mixture Model. http://www.mathworks.com/matlabcentral/fileexchange/35362-variational-bayesian-inference-for-gaussian-mixture-model
See Also
Examples
1 | logmvgamma(matrix(1:6,nrow=3), 2)
|
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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