norm_const_K: Normalising constant for kernels in FKSUM
In FKSUM: Fast Kernel Sums
norm_const_K R Documentation
Normalising constant for kernels in FKSUM
Description
Computes the normalising constant for kernels implemented in the FKSUM package, to convert kernel with arbitrary beta coefficients to one which is a probability density. That is the kernel with coefficients equal to beta/norm_const_beta(beta) has unit integral
Usage
norm_const_K(beta)
Arguments
beta
numeric vector of positive coefficients.
Value
positive numeric normalising constant
References
Hofmeyr, D.P. (2021) "Fast exact evaluation of univariate kernel sums", IEEE Transactions on Pattern Analysis and Machine Intelligence, 43(2), 447-458.
FKSUM documentation built on April 15, 2023, 5:06 p.m.
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| norm_const_K | R Documentation |
Normalising constant for kernels in FKSUM
Description
Computes the normalising constant for kernels implemented in the FKSUM package, to convert kernel with arbitrary beta coefficients to one which is a probability density. That is the kernel with coefficients equal to beta/norm_const_beta(beta) has unit integral
Usage
norm_const_K(beta)
Arguments
beta |
numeric vector of positive coefficients. |
Value
positive numeric normalising constant
References
Hofmeyr, D.P. (2021) "Fast exact evaluation of univariate kernel sums", IEEE Transactions on Pattern Analysis and Machine Intelligence, 43(2), 447-458.
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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